Launching soon. Limited time: double your credits with purchases.

AI Models & Pricing

Pay only for what you use. No subscriptions, no hidden fees.10,000 credits = $1

AI usage is billed at OpenRouter rates + 10%.

Pay as you go

Pay only for what you use

10,000 credits = $1, no subscription. Or bring your own API key to chat with AI for free.

Sign up free

aion-labs

ModelContextIn / 1MOut / 1M
AionLabs: Aion-2.0Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging....131K8,800 cr17,600 cr
AionLabs: Aion-3.0Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each contribute...131K33,000 cr66,000 cr
AionLabs: Aion-3.0-MiniAion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multiple specialized models each...131K7,700 cr15,400 cr
AionLabs: Aion-RP 1.0 (8B)Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...33K8,800 cr17,600 cr

allenai

ModelContextIn / 1MOut / 1M
AllenAI: Olmo 3 32B ThinkOlmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...66K1,650 cr5,500 cr

amazon

ModelContextIn / 1MOut / 1M
Amazon: Nova 2 LiteNova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...1M3,300 cr27,500 cr
Amazon: Nova Lite 1.0Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...300K660 cr2,640 cr
Amazon: Nova Micro 1.0Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...128K385 cr1,540 cr
Amazon: Nova Premier 1.0Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.1M27,500 cr137,500 cr
Amazon: Nova Pro 1.0Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...300K8,800 cr35,200 cr

~anthropic

ModelContextIn / 1MOut / 1M
Anthropic Claude Haiku LatestThis model always redirects to the latest model in the Anthropic Claude Haiku family.200K11,000 cr55,000 cr
Anthropic Claude Sonnet LatestThis model always redirects to the latest model in the Anthropic Claude Sonnet family.1M22,000 cr110,000 cr
Anthropic: Claude Fable LatestThis model always redirects to the latest model in the Claude Fable family.1M110,000 cr550,000 cr
Anthropic: Claude Opus LatestThis model always redirects to the latest model in the Claude Opus family.1M55,000 cr275,000 cr
Anthropic logo

Anthropic

ModelContextIn / 1MOut / 1M
Anthropic: Claude 3 HaikuClaude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal200K2,750 cr13,750 cr
Anthropic: Claude Fable 5Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...1M110,000 cr550,000 cr
Anthropic: Claude Fable 5 (batch)Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...1M55,000 cr275,000 cr
Anthropic: Claude Haiku 4.5 (batch)Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...200K5,500 cr27,500 cr
Anthropic: Claude Opus 4Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...200K165,000 cr825,000 cr
Anthropic: Claude Opus 4.1Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...200K165,000 cr825,000 cr
Anthropic: Claude Opus 4.1 (batch)Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...200K82,500 cr412,500 cr
Anthropic: Claude Opus 4.5Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...200K55,000 cr275,000 cr
Anthropic: Claude Opus 4.5 (batch)Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...200K27,500 cr137,500 cr
Anthropic: Claude Opus 4.6 (batch)Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...1M27,500 cr137,500 cr
Anthropic: Claude Opus 4.7Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...1M55,000 cr275,000 cr
Anthropic: Claude Opus 4.7 (Fast)Fast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode1M330,000 cr1,650,000 cr
Anthropic: Claude Opus 4.7 (batch)Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...1M27,500 cr137,500 cr
Anthropic: Claude Opus 4.8Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...1M55,000 cr275,000 cr
Anthropic: Claude Opus 4.8 (Fast)Fast-mode variant of [Opus 4.8](/anthropic/claude-opus-4.8) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode1M110,000 cr550,000 cr
Anthropic: Claude Opus 4.8 (batch)Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...1M27,500 cr137,500 cr
Anthropic: Claude Sonnet 4Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...1M33,000 cr165,000 cr
Anthropic: Claude Sonnet 4.5Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...1M33,000 cr165,000 cr
Anthropic: Claude Sonnet 4.5 (batch)Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...1M16,500 cr82,500 cr
Anthropic: Claude Sonnet 4.6 (batch)Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...1M16,500 cr82,500 cr
Anthropic: Claude Sonnet 5Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...1M22,000 cr110,000 cr
Anthropic: Claude Sonnet 5 (batch)Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...1M11,000 cr55,000 cr
Claude Haiku 4.5Fast and affordable Anthropic model200K11,000 cr55,000 cr
Claude Opus 4.6Most capable Anthropic model1M55,000 cr275,000 cr
Claude Opus 5Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...1M55,000 cr275,000 cr
Claude Opus 5 (Fast)Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode1M110,000 cr550,000 cr
Claude Opus 5 (batch)Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...1M27,500 cr137,500 cr
Claude Sonnet 4.6Balanced Anthropic model1M33,000 cr165,000 cr

arcee-ai

ModelContextIn / 1MOut / 1M
Arcee AI: Trinity Large ThinkingTrinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...262K2,420 cr9,350 cr
Arcee AI: Virtuoso LargeVirtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...131K8,250 cr13,200 cr
openrouter logo

openrouter

ModelContextIn / 1MOut / 1M
Auto RouterYour prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used,...2M-11,000,000,000 cr-11,000,000,000 cr
Auto Router (Beta)Auto Router (Beta) is a task-aware router from OpenRouter. It classifies each request, then routes it the [most popular model](/rankings#task-spend) for that task based on aggregate spend, filtered by your...2M-11,000,000,000 cr-11,000,000,000 cr
Body Builder (beta)Transform your natural language requests into structured OpenRouter API request objects. Describe what you want to accomplish with AI models, and Body Builder will construct the appropriate API calls. Example:...128K-11,000,000,000 cr-11,000,000,000 cr
Free Models RouterThe simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...200K0 cr0 cr
OpenRouter: FusionFusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...1M-11,000,000,000 cr-11,000,000,000 cr
Pareto Code RouterThe Pareto Router maintains a tiered shortlist of strong coding models, ranked by [Artificial Analysis](https://artificialanalysis.ai/) coding percentiles. Set min_coding_score between 0 and 1 on the [pareto-router plugin](https://openrouter.ai/docs/guides/routing/routers/pareto-router#the-min_coding_score-parameter) to control how...2M-11,000,000,000 cr-11,000,000,000 cr

baidu

ModelContextIn / 1MOut / 1M
Baidu: ERNIE 4.5 VL 424B A47B ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...123K4,620 cr13,750 cr

bytedance-seed

ModelContextIn / 1MOut / 1M
ByteDance Seed: Seed 1.6Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.262K2,750 cr22,000 cr
ByteDance Seed: Seed 1.6 FlashSeed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of...262K825 cr3,300 cr
ByteDance Seed: Seed 2.1 TurboSeed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...262K5,500 cr27,500 cr
ByteDance Seed: Seed-2.0-CodeSeed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude...262K5,500 cr33,000 cr
ByteDance Seed: Seed-2.0-LiteSeed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across...262K2,750 cr22,000 cr
ByteDance Seed: Seed-2.0-MiniSeed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...262K1,100 cr4,400 cr

bytedance

ModelContextIn / 1MOut / 1M
ByteDance: UI-TARS 7B UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...128K1,100 cr2,200 cr

cohere

ModelContextIn / 1MOut / 1M
Cohere: Command ACommand A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...256K27,500 cr110,000 cr
Cohere: Command R (08-2024)command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...128K1,650 cr6,600 cr
Cohere: Command R+ (08-2024)command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...128K27,500 cr110,000 cr
Cohere: Command R7B (12-2024)Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...128K413 cr1,650 cr
Cohere: North Mini Code (free)North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...256K0 cr0 cr

deepcogito

ModelContextIn / 1MOut / 1M
Deep Cogito: Cogito v2.1 671BCogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...128K13,750 cr13,750 cr
DeepSeek logo

DeepSeek

ModelContextIn / 1MOut / 1M
DeepSeek Chat v3.1Budget-friendly reasoning model164K2,750 cr10,450 cr
DeepSeek V4 Pro1M-token context window1.05M17,600 cr35,200 cr
DeepSeek v3.2Latest DeepSeek model164K2,959 cr4,400 cr
DeepSeek: DeepSeek V3DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...164K2,831 cr11,316 cr
DeepSeek: DeepSeek V3 0324DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...164K2,750 cr11,000 cr
DeepSeek: DeepSeek V3.1 TerminusDeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...164K2,970 cr11,000 cr
DeepSeek: DeepSeek V3.2 ExpDeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...164K2,970 cr4,510 cr
DeepSeek: DeepSeek V4 Flash 0423DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...1.05M832 cr1,663 cr
DeepSeek: DeepSeek V4 Flash 0731DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....1.31M1,540 cr3,080 cr
DeepSeek: DeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.1.05M13,068 cr39,204 cr
DeepSeek: R1DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....64K7,700 cr27,500 cr
DeepSeek: R1 0528May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...164K5,500 cr23,650 cr
DeepSeek: R1 Distill Llama 70BDeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...8K8,800 cr8,800 cr

~deepseek

ModelContextIn / 1MOut / 1M
DeepSeek V4 Flash LatestThis model always redirects to the latest model in the DeepSeek V4 Flash family.1.31M715 cr1,540 cr

dots-studio

ModelContextIn / 1MOut / 1M
Dots Studio: Dots3-Note Preview (free)Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...512K0 cr0 cr
OpenAI logo

OpenAI

ModelContextIn / 1MOut / 1M
GPT-5.4Flagship OpenAI model1.05M27,500 cr165,000 cr
GPT-5.4 MiniFast and affordable OpenAI model400K8,250 cr49,500 cr
GPT-5.4 ProMost capable OpenAI model1.05M330,000 cr1,980,000 cr
OpenAI: GPT AudioThe gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...128K27,500 cr110,000 cr
OpenAI: GPT Audio MiniA cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...128K6,600 cr26,400 cr
OpenAI: GPT Chat LatestGPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates...400K55,000 cr330,000 cr
OpenAI: GPT-3.5 TurboGPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.16K5,500 cr16,500 cr
OpenAI: GPT-3.5 Turbo (batch)GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.16K2,750 cr8,250 cr
OpenAI: GPT-3.5 Turbo (older v0613)GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.4K11,000 cr22,000 cr
OpenAI: GPT-3.5 Turbo 16kThis model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...16K33,000 cr44,000 cr
OpenAI: GPT-3.5 Turbo InstructThis model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.4K16,500 cr22,000 cr
OpenAI: GPT-4OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...8K330,000 cr660,000 cr
OpenAI: GPT-4 TurboThe latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.128K110,000 cr330,000 cr
OpenAI: GPT-4 Turbo (batch)The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.128K55,000 cr165,000 cr
OpenAI: GPT-4 Turbo PreviewThe preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Dec 2023. **Note:** heavily rate limited by OpenAI while...128K110,000 cr330,000 cr
OpenAI: GPT-4.1GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...1.05M22,000 cr88,000 cr
OpenAI: GPT-4.1 (batch)GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...1.05M11,000 cr44,000 cr
OpenAI: GPT-4.1 MiniGPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...1.05M4,400 cr17,600 cr
OpenAI: GPT-4.1 Mini (batch)GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...1.05M2,200 cr8,800 cr
OpenAI: GPT-4.1 NanoFor tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...1.05M1,100 cr4,400 cr
OpenAI: GPT-4.1 Nano (batch)For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...1.05M550 cr2,200 cr
OpenAI: GPT-4oGPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...128K27,500 cr110,000 cr
OpenAI: GPT-4o (2024-05-13)GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...128K55,000 cr165,000 cr
OpenAI: GPT-4o (2024-08-06)The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...128K27,500 cr110,000 cr
OpenAI: GPT-4o (2024-11-20)The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...128K27,500 cr110,000 cr
OpenAI: GPT-4o (batch)GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...128K13,750 cr55,000 cr
OpenAI: GPT-4o-miniGPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...128K1,650 cr6,600 cr
OpenAI: GPT-4o-mini (2024-07-18)GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...128K1,650 cr6,600 cr
OpenAI: GPT-4o-mini (batch)GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...128K825 cr3,300 cr
OpenAI: GPT-5GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...400K13,750 cr110,000 cr
OpenAI: GPT-5 (batch)GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...400K6,875 cr55,000 cr
OpenAI: GPT-5 Codex (batch)GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....400K6,875 cr55,000 cr
OpenAI: GPT-5 Image[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...400K110,000 cr110,000 cr
OpenAI: GPT-5 Image MiniGPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...400K27,500 cr22,000 cr
OpenAI: GPT-5 MiniGPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....400K2,750 cr22,000 cr
OpenAI: GPT-5 Mini (batch)GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....400K1,375 cr11,000 cr
OpenAI: GPT-5 NanoGPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...400K550 cr4,400 cr
OpenAI: GPT-5 Nano (batch)GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...400K275 cr2,200 cr
OpenAI: GPT-5 ProGPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...400K165,000 cr1,320,000 cr
OpenAI: GPT-5 Pro (batch)GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...400K82,500 cr660,000 cr
OpenAI: GPT-5.1GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...400K13,750 cr110,000 cr
OpenAI: GPT-5.1 (batch)GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...400K6,875 cr55,000 cr
OpenAI: GPT-5.1-CodexGPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....400K13,750 cr110,000 cr
OpenAI: GPT-5.1-Codex-MaxGPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...400K13,750 cr110,000 cr
OpenAI: GPT-5.1-Codex-MiniGPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex400K2,750 cr22,000 cr
OpenAI: GPT-5.2GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...400K19,250 cr154,000 cr
OpenAI: GPT-5.2 (batch)GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...400K9,625 cr77,000 cr
OpenAI: GPT-5.2 ChatGPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...128K19,250 cr154,000 cr
OpenAI: GPT-5.2 ProGPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...400K231,000 cr1,848,000 cr
OpenAI: GPT-5.2 Pro (batch)GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...400K115,500 cr924,000 cr
OpenAI: GPT-5.2-CodexGPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....400K19,250 cr154,000 cr
OpenAI: GPT-5.3-CodexGPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...400K19,250 cr154,000 cr
OpenAI: GPT-5.4 (batch)GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...1.05M13,750 cr82,500 cr
OpenAI: GPT-5.4 Image 2[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...272K88,000 cr165,000 cr
OpenAI: GPT-5.4 Mini (batch)GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...400K4,125 cr24,750 cr
OpenAI: GPT-5.4 NanoGPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...400K2,200 cr13,750 cr
OpenAI: GPT-5.4 Nano (batch)GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...400K1,100 cr6,875 cr
OpenAI: GPT-5.4 Pro (batch)GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...1.05M165,000 cr990,000 cr
OpenAI: GPT-5.5GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...1.05M55,000 cr330,000 cr
OpenAI: GPT-5.5 (batch)GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...1.05M27,500 cr165,000 cr
OpenAI: GPT-5.5 ProGPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...1.05M330,000 cr1,980,000 cr
OpenAI: GPT-5.5 Pro (batch)GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...1.05M165,000 cr990,000 cr
OpenAI: GPT-5.6 LunaGPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...1.05M2,200 cr13,200 cr
OpenAI: GPT-5.6 Luna (batch)GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...1.05M1,100 cr6,600 cr
OpenAI: GPT-5.6 Luna ProGPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode1.05M2,200 cr13,200 cr
OpenAI: GPT-5.6 Luna Pro (batch)GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode1.05M1,100 cr6,600 cr
OpenAI: GPT-5.6 SolGPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...1.05M27,500 cr165,000 cr
OpenAI: GPT-5.6 Sol (batch)GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...1.05M13,750 cr82,500 cr
OpenAI: GPT-5.6 Sol ProGPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode1.05M27,500 cr165,000 cr
OpenAI: GPT-5.6 Sol Pro (batch)GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode1.05M13,750 cr82,500 cr
OpenAI: GPT-5.6 TerraGPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...1.05M22,000 cr132,000 cr
OpenAI: GPT-5.6 Terra (batch)GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...1.05M11,000 cr66,000 cr
OpenAI: GPT-5.6 Terra ProGPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode1.05M22,000 cr132,000 cr
OpenAI: GPT-5.6 Terra Pro (batch)GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode1.05M11,000 cr66,000 cr
OpenAI: gpt-oss-120bgpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...131K330 cr1,870 cr
OpenAI: gpt-oss-20bgpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...131K330 cr1,430 cr
OpenAI: gpt-oss-20b (free)gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...131K0 cr0 cr
OpenAI: gpt-oss-safeguard-20bgpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...131K825 cr3,300 cr
OpenAI: o1The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...200K165,000 cr660,000 cr
OpenAI: o1 (batch)The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...200K82,500 cr330,000 cr
OpenAI: o1-proThe o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...200K1,650,000 cr6,600,000 cr
OpenAI: o1-pro (batch)The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...200K825,000 cr3,300,000 cr
OpenAI: o3o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....200K22,000 cr88,000 cr
OpenAI: o3 (batch)o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....200K11,000 cr44,000 cr
OpenAI: o3 MiniOpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...200K12,100 cr48,400 cr
OpenAI: o3 Mini (batch)OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...200K6,050 cr24,200 cr
OpenAI: o3 Mini HighOpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...200K12,100 cr48,400 cr
OpenAI: o3 Mini High (batch)OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...200K6,050 cr24,200 cr
OpenAI: o3 ProThe o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...200K220,000 cr880,000 cr
OpenAI: o3 Pro (batch)The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...200K110,000 cr440,000 cr
OpenAI: o4 MiniOpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...200K12,100 cr48,400 cr
OpenAI: o4 Mini (batch)OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...200K6,050 cr24,200 cr
OpenAI: o4 Mini HighOpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...200K12,100 cr48,400 cr
OpenAI: o4 Mini High (batch)OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...200K6,050 cr24,200 cr
Google logo

Google

ModelContextIn / 1MOut / 1M
Gemini 2.5 Flash LiteFastest and cheapest Google model1.05M1,100 cr4,400 cr
Gemini 3 FlashBalanced speed and quality from Google1.05M5,500 cr33,000 cr
Gemini 3.1 Flash LiteLightweight next-gen Google model1.05M2,750 cr16,500 cr
Gemini 3.1 ProMost capable Google model1.05M22,000 cr132,000 cr
Google: Gemini 2.5 FlashGemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...1.05M3,300 cr27,500 cr
Google: Gemini 2.5 Flash (batch)Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...1.05M1,650 cr13,750 cr
Google: Gemini 2.5 Flash Lite (batch)Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...1.05M550 cr2,200 cr
Google: Gemini 2.5 ProGemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...1.05M13,750 cr110,000 cr
Google: Gemini 2.5 Pro (batch)Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...1.05M6,875 cr55,000 cr
Google: Gemini 2.5 Pro Preview 05-06Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...1.05M13,750 cr110,000 cr
Google: Gemini 2.5 Pro Preview 06-05Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...1.05M13,750 cr110,000 cr
Google: Gemini 3 Flash Preview (batch)Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...1.05M2,750 cr16,500 cr
Google: Gemini 3.1 Flash LiteGemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...1.05M2,750 cr16,500 cr
Google: Gemini 3.1 Flash Lite (batch)Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...1.05M1,375 cr8,250 cr
Google: Gemini 3.1 Pro Preview (batch)Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...1.05M11,000 cr66,000 cr
Google: Gemini 3.1 Pro Preview Custom ToolsGemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party...1.05M22,000 cr132,000 cr
Google: Gemini 3.5 FlashGemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...1.05M16,500 cr99,000 cr
Google: Gemini 3.5 Flash (batch)Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...1.05M8,250 cr49,500 cr
Google: Gemini 3.5 Flash LiteGemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.1.05M3,300 cr27,500 cr
Google: Gemini 3.5 Flash Lite (batch)Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.1.05M1,650 cr13,750 cr
Google: Gemini 3.6 FlashGemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...1.05M8,250 cr41,250 cr
Google: Gemini 3.6 Flash (batch)Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...1.05M4,125 cr20,625 cr
Google: Gemini 3.7 FlashGemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...1.05M4,125 cr20,625 cr
Google: Gemini 3.7 Flash (batch)Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...1.05M2,063 cr10,313 cr
Google: Gemma 2 27BGemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...8K7,150 cr7,150 cr
Google: Gemma 3 12BGemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...131K550 cr1,650 cr
Google: Gemma 3 27BGemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...262K880 cr4,950 cr
Google: Gemma 3 4BGemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...131K550 cr1,100 cr
Google: Gemma 3n 4BGemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...33K660 cr1,320 cr
Google: Gemma 4 26B A4B Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...262K770 cr3,740 cr
Google: Gemma 4 26B A4B (free)Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...262K0 cr0 cr
Google: Gemma 4 31BGemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...262K990 cr3,740 cr
Google: Gemma 4 31B (free)Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...262K0 cr0 cr
Google: Lyria 3 Clip Preview30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate...1.05M0 cr0 cr
Google: Lyria 3 Pro PreviewFull-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz...1.05M0 cr0 cr
Google: Nano Banana (Gemini 2.5 Flash Image)Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...33K3,300 cr27,500 cr
Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...66K5,500 cr33,000 cr
Google: Nano Banana 2 (Gemini 3.1 Flash Image)Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced...131K5,500 cr33,000 cr
Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...66K2,750 cr16,500 cr
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...66K22,000 cr132,000 cr
Google: Nano Banana Pro (Gemini 3 Pro Image)Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...131K22,000 cr132,000 cr

~google

ModelContextIn / 1MOut / 1M
Google Gemini Flash LatestThis model always redirects to the latest model in the Google Gemini Flash family.1.05M4,125 cr20,625 cr
Google Gemini Pro LatestThis model always redirects to the latest model in the Google Gemini Pro family.1.05M22,000 cr132,000 cr

ibm-granite

ModelContextIn / 1MOut / 1M
IBM: Granite 4.0 MicroGranite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...131K187 cr1,232 cr
IBM: Granite 4.1 8BGranite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...131K550 cr1,100 cr

inception

ModelContextIn / 1MOut / 1M
Inception: Mercury 2Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...128K2,750 cr8,250 cr
Moonshot AI logo

Moonshot AI

ModelContextIn / 1MOut / 1M
Kimi K2.5Strong reasoning from Moonshot AI262K4,950 cr24,750 cr
Kimi K3Latest flagship model from Moonshot AI1.05M33,000 cr165,000 cr
MoonshotAI: Kimi K2 0711Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...131K6,270 cr25,300 cr
MoonshotAI: Kimi K2 0905Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...262K6,600 cr27,500 cr
MoonshotAI: Kimi K2 ThinkingKimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...262K6,600 cr27,500 cr
MoonshotAI: Kimi K2.6Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...262K5,957 cr25,080 cr
MoonshotAI: Kimi K2.7 CodeMoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...262K7,810 cr38,500 cr
MoonshotAI: Kimi K2.7 Code (batch)MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...262K10,450 cr44,000 cr

kwaipilot

ModelContextIn / 1MOut / 1M
Kwaipilot: KAT-Coder-Air V2.5KAT-Coder-Air V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...256K1,650 cr6,600 cr
Kwaipilot: KAT-Coder-Pro V2KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integration. It builds on the agentic coding strengths of earlier versions,...262K3,300 cr13,200 cr
Kwaipilot: KAT-Coder-Pro V2.5KAT-Coder-Pro V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...256K8,140 cr32,560 cr

inclusionai

ModelContextIn / 1MOut / 1M
Ling-3.0-flash*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...262K231 cr693 cr
inclusionAI: Ling-2.6-1TLing-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...262K825 cr6,875 cr
inclusionAI: Ling-2.6-flashLing-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....262K110 cr330 cr
inclusionAI: Ring-2.6-1TRing-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...262K825 cr6,875 cr

liquid

ModelContextIn / 1MOut / 1M
LiquidAI: LFM2.5-2.6B (free)LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...128K0 cr0 cr

anthracite-org

ModelContextIn / 1MOut / 1M
Magnum v4 72BThis is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).33K33,000 cr55,000 cr

meituan

ModelContextIn / 1MOut / 1M
Meituan: LongCat 2.0LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...1.05M3,300 cr13,200 cr

meta-llama

ModelContextIn / 1MOut / 1M
Meta: Llama 3.1 70B InstructMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...131K4,400 cr4,400 cr
Meta: Llama 3.1 8B InstructMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...131K550 cr880 cr
Meta: Llama 3.2 1B InstructLlama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...60K297 cr2,211 cr
Meta: Llama 3.2 3B InstructLlama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...131K550 cr3,630 cr
Meta: Llama 3.3 70B InstructThe Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...131K1,100 cr3,520 cr
Meta: Llama 4 MaverickLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...1.05M2,200 cr8,800 cr
Meta: Llama 4 ScoutLlama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...1.31M1,100 cr3,300 cr
Meta: Llama Guard 4 12BLlama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...1.05M1,980 cr1,980 cr

meta

ModelContextIn / 1MOut / 1M
Meta: Muse Glimmer 30BMuse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...131K3,850 cr16,500 cr
Meta: Muse Spark 1.1Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...1.05M13,750 cr46,750 cr
Meta: Muse Spark 1.2Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...1.05M13,750 cr46,750 cr

microsoft

ModelContextIn / 1MOut / 1M
Microsoft: Phi 4[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...16K770 cr1,540 cr
WizardLM-2 8x22BWizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is...66K6,820 cr6,820 cr

minimax

ModelContextIn / 1MOut / 1M
MiniMax: MiniMax M1MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...1M6,050 cr24,200 cr
MiniMax: MiniMax M2MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...205K2,805 cr11,220 cr
MiniMax: MiniMax M2-herMiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...66K3,300 cr13,200 cr
MiniMax: MiniMax M2.1MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...205K3,300 cr13,200 cr
MiniMax: MiniMax M2.5MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...205K2,475 cr9,900 cr
MiniMax: MiniMax M2.7MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...205K3,300 cr13,200 cr
MiniMax: MiniMax M3MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...1.05M3,300 cr13,200 cr
MiniMax: MiniMax M3 (batch)MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...524K3,300 cr13,200 cr
MiniMax: MiniMax-01MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...1.00M2,200 cr12,100 cr

mistralai

ModelContextIn / 1MOut / 1M
Mistral LargeThis is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....128K22,000 cr66,000 cr
Mistral Large 2407This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....131K22,000 cr66,000 cr
Mistral: Codestral 2508Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)256K3,300 cr9,900 cr
Mistral: Ministral 3 14B 2512The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...262K2,200 cr2,200 cr
Mistral: Ministral 3 3B 2512The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.131K1,100 cr1,100 cr
Mistral: Ministral 3 8B 2512A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.262K1,650 cr1,650 cr
Mistral: Ministral 8BMinistral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length...128K1,210 cr1,210 cr
Mistral: Mistral Large 3 2512Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.262K5,500 cr16,500 cr
Mistral: Mistral Medium 3Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...131K4,400 cr22,000 cr
Mistral: Mistral Medium 3.1Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...131K4,400 cr22,000 cr
Mistral: Mistral Medium 3.5Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...262K16,500 cr82,500 cr
Mistral: Mistral NemoA 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...131K209 cr330 cr
Mistral: Mistral Small 3Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...33K550 cr880 cr
Mistral: Mistral Small 3.1 24BMistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...128K3,861 cr6,105 cr
Mistral: Mistral Small 3.2 24BMistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...256K1,031 cr2,750 cr
Mistral: Mistral Small 4Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...262K1,650 cr6,600 cr
Mistral: Mixtral 8x22B InstructMistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...66K22,000 cr66,000 cr
Mistral: SabaMistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...33K2,200 cr6,600 cr
Mistral: Voxtral Small 24B 2507Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...32K1,100 cr3,300 cr

~moonshotai

ModelContextIn / 1MOut / 1M
MoonshotAI Kimi LatestThis model always redirects to the latest model in the MoonshotAI Kimi family.1.05M28,600 cr143,000 cr

morph

ModelContextIn / 1MOut / 1M
Morph: Morph V3 FastMorph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>...82K8,800 cr13,200 cr
Morph: Morph V3 LargeMorph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code>...262K9,900 cr20,900 cr

gryphe

ModelContextIn / 1MOut / 1M
MythoMax 13BOne of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge8K660 cr660 cr

nvidia

ModelContextIn / 1MOut / 1M
NVIDIA: Nemotron 3 Nano 30B A3BNVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...262K550 cr2,200 cr
NVIDIA: Nemotron 3 Nano 30B A3B (free)NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...256K0 cr0 cr
NVIDIA: Nemotron 3 Nano Omni (free)NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...256K0 cr0 cr
NVIDIA: Nemotron 3 SuperNVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...1M935 cr4,400 cr
NVIDIA: Nemotron 3 Super (free)NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...262K0 cr0 cr
NVIDIA: Nemotron 3 UltraNVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...512K6,600 cr39,600 cr
NVIDIA: Nemotron 3 Ultra (batch)NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...512K6,600 cr39,600 cr
NVIDIA: Nemotron 3 Ultra (free)NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...1M0 cr0 cr
NVIDIA: Nemotron 3.5 Content Safety (free)NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...128K0 cr0 cr
NVIDIA: Nemotron 3.5 LightningNVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...262K880 cr2,200 cr
NVIDIA: Nemotron 3.5 Lightning (free)NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...1M0 cr0 cr
NVIDIA: Nemotron Nano 12B 2 VL (free)NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s...128K0 cr0 cr
NVIDIA: Nemotron Nano 9B V2 (free)NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...128K0 cr0 cr

nex-agi

ModelContextIn / 1MOut / 1M
Nex AGI: Nex-N2-MiniNex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use,...262K275 cr1,100 cr
Nex AGI: Nex-N2-ProNex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...262K2,750 cr11,000 cr

nousresearch

ModelContextIn / 1MOut / 1M
Nous: Hermes 3 405B InstructHermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...131K11,000 cr11,000 cr
Nous: Hermes 3 70B InstructHermes 3 is a generalist language model with many improvements over [Hermes 2](/models/nousresearch/nous-hermes-2-mistral-7b-dpo), including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...131K7,700 cr7,700 cr
Nous: Hermes 4 405BHermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...131K11,000 cr33,000 cr
Nous: Hermes 4 70BHermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid mode as the larger 405B release, allowing the model to either...131K1,430 cr4,400 cr

~openai

ModelContextIn / 1MOut / 1M
OpenAI GPT LatestThis model always redirects to the latest model in the OpenAI GPT family.1.05M27,500 cr165,000 cr
OpenAI GPT Mini LatestThis model always redirects to the latest model in the OpenAI GPT Mini family.400K8,250 cr49,500 cr

stealth

ModelContextIn / 1MOut / 1M
Ox AlphaOx Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...1.05M0 cr0 cr

perceptron

ModelContextIn / 1MOut / 1M
Perceptron: Perceptron Mk1Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...33K1,650 cr16,500 cr

perplexity

ModelContextIn / 1MOut / 1M
Perplexity: SonarSonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...127K11,000 cr11,000 cr
Perplexity: Sonar Deep ResearchSonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...128K22,000 cr88,000 cr
Perplexity: Sonar ProNote: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...200K33,000 cr165,000 cr
Perplexity: Sonar Pro SearchExclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...200K33,000 cr165,000 cr
Perplexity: Sonar Reasoning ProNote: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...128K22,000 cr88,000 cr

poolside

ModelContextIn / 1MOut / 1M
Poolside: Laguna S 2.1Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...1.05M990 cr1,980 cr
Poolside: Laguna S 2.1 (free)Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...262K0 cr0 cr
Poolside: Laguna XS 2.1Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...262K660 cr1,320 cr
Poolside: Laguna XS 2.1 (free)Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...262K0 cr0 cr
qwen logo

qwen

ModelContextIn / 1MOut / 1M
Qwen2.5 72B InstructQwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...33K3,960 cr4,400 cr
Qwen2.5 Coder 32B InstructQwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...33K7,260 cr11,000 cr
Qwen: Qwen Plus 0728Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.1M2,860 cr8,580 cr
Qwen: Qwen Plus 0728 (thinking)Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.1M2,860 cr8,580 cr
Qwen: Qwen-PlusQwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.1M2,860 cr8,580 cr
Qwen: Qwen2.5 7B InstructQwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...33K1,100 cr2,200 cr
Qwen: Qwen2.5 VL 72B InstructQwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.128K8,800 cr11,000 cr
Qwen: Qwen3 14BQwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...131K1,320 cr2,640 cr
Qwen: Qwen3 235B A22BQwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...131K5,005 cr20,020 cr
Qwen: Qwen3 235B A22B Instruct 2507Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...262K990 cr6,050 cr
Qwen: Qwen3 235B A22B Thinking 2507Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...262K2,530 cr25,300 cr
Qwen: Qwen3 30B A3BQwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...131K1,430 cr5,720 cr
Qwen: Qwen3 30B A3B Instruct 2507Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...262K530 cr2,124 cr
Qwen: Qwen3 30B A3B Thinking 2507Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...82K2,200 cr26,400 cr
Qwen: Qwen3 32BQwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...131K880 cr3,080 cr
Qwen: Qwen3 8BQwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...131K1,287 cr5,005 cr
Qwen: Qwen3 Coder 30B A3B InstructQwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...262K770 cr3,080 cr
Qwen: Qwen3 Coder 480B A35BQwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...262K3,300 cr11,000 cr
Qwen: Qwen3 Coder FlashQwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...1M2,145 cr10,725 cr
Qwen: Qwen3 Coder NextQwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...262K1,320 cr8,800 cr
Qwen: Qwen3 Coder PlusQwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...1M7,150 cr35,750 cr
Qwen: Qwen3 MaxQwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...262K8,580 cr42,900 cr
Qwen: Qwen3 Max ThinkingQwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...262K8,580 cr42,900 cr
Qwen: Qwen3 Next 80B A3B InstructQwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...262K990 cr12,100 cr
Qwen: Qwen3 Next 80B A3B ThinkingQwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...262K1,650 cr13,200 cr
Qwen: Qwen3 VL 235B A22B InstructQwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...262K2,310 cr20,900 cr
Qwen: Qwen3 VL 235B A22B ThinkingQwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....131K4,400 cr44,000 cr
Qwen: Qwen3 VL 30B A3B InstructQwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...262K1,430 cr5,720 cr
Qwen: Qwen3 VL 30B A3B ThinkingQwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...262K2,200 cr26,400 cr
Qwen: Qwen3 VL 32B InstructQwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...131K1,144 cr4,576 cr
Qwen: Qwen3 VL 8B InstructQwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...262K1,287 cr5,005 cr
Qwen: Qwen3 VL 8B ThinkingQwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...131K1,980 cr23,100 cr
Qwen: Qwen3.5 397B A17BThe Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...262K4,290 cr25,740 cr
Qwen: Qwen3.5 Plus 2026-02-15The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...1M2,860 cr17,160 cr
Qwen: Qwen3.5 Plus 2026-04-20Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...1M3,300 cr19,800 cr
Qwen: Qwen3.5-122B-A10BThe Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...262K2,860 cr22,880 cr
Qwen: Qwen3.5-27BThe Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...262K2,145 cr17,160 cr
Qwen: Qwen3.5-35B-A3BThe Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...262K2,750 cr13,750 cr
Qwen: Qwen3.5-9BQwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...262K1,100 cr1,650 cr
Qwen: Qwen3.5-FlashThe Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...1M715 cr2,860 cr
Qwen: Qwen3.6 27BQwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...262K6,600 cr39,600 cr
Qwen: Qwen3.6 35B A3BQwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...262K1,540 cr11,000 cr
Qwen: Qwen3.6 FlashQwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...1M2,063 cr12,375 cr
Qwen: Qwen3.6 Max PreviewQwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...262K11,297 cr67,782 cr
Qwen: Qwen3.6 PlusQwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...1M3,575 cr21,450 cr
Qwen: Qwen3.7 FlashQwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...1M330 cr1,430 cr
Qwen: Qwen3.7 MaxQwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...1M16,225 cr48,675 cr
Qwen: Qwen3.7 PlusQwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...1M3,520 cr14,080 cr
Qwen: Qwen3.8 2.4T A95BQwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...1.05M22,000 cr66,000 cr
Qwen: Qwen3.8 27BQwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...1M4,950 cr35,200 cr
Qwen: Qwen3.8 MaxQwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...1M22,000 cr66,000 cr

undi95

ModelContextIn / 1MOut / 1M
ReMM SLERP 13BA recreation trial of the original MythoMax-L2-B13 but with updated models. #merge6K4,950 cr7,150 cr

rekaai

ModelContextIn / 1MOut / 1M
Reka EdgeReka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding,...16K1,100 cr1,100 cr
Reka Flash 3Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...66K1,100 cr2,200 cr

relace

ModelContextIn / 1MOut / 1M
Relace: Relace Apply 3Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...256K9,350 cr13,750 cr
Relace: Relace SearchThe relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...256K11,000 cr33,000 cr

sakana

ModelContextIn / 1MOut / 1M
Sakana: Fugu UltraFugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...1M55,000 cr330,000 cr
Sakana: Sakana NamazuSakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...262K10,450 cr44,000 cr

sao10k

ModelContextIn / 1MOut / 1M
Sao10K: Llama 3 8B LunarisLunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and general knowledge....8K440 cr550 cr
Sao10K: Llama 3.1 Euryale 70B v2.2Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).131K9,350 cr9,350 cr
Sao10K: Llama 3.3 Euryale 70BEuryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).131K7,150 cr8,250 cr

x-ai

ModelContextIn / 1MOut / 1M
SpaceXAI: Grok 4.20Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...2M13,750 cr27,500 cr
SpaceXAI: Grok 4.20 Multi-AgentGrok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...2M13,750 cr27,500 cr
SpaceXAI: Grok 4.3Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...1M13,750 cr27,500 cr
SpaceXAI: Grok 4.5Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.500K22,000 cr66,000 cr
SpaceXAI: Grok 4.6Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.500K22,000 cr66,000 cr
SpaceXAI: Grok Build 0.1Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...256K11,000 cr22,000 cr

stepfun

ModelContextIn / 1MOut / 1M
StepFun: Step 3.5 FlashStep 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....262K1,100 cr3,300 cr
StepFun: Step 3.7 FlashStep 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...262K2,200 cr12,650 cr

tencent

ModelContextIn / 1MOut / 1M
Tencent: Hunyuan A13B InstructHunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...131K1,540 cr6,270 cr
Tencent: Hy-MT2-1.8BHy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...8K484 cr1,947 cr
Tencent: Hy-MT2-30B-A3BHy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...8K814 cr3,245 cr
Tencent: Hy3Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...262K1,452 cr5,808 cr
Tencent: Hy3 previewHy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...262K1,980 cr6,600 cr

thedrummer

ModelContextIn / 1MOut / 1M
TheDrummer: Cydonia 24B V4.1Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.131K3,300 cr5,500 cr
TheDrummer: Rocinante 12BRocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and expressive word choices - Enhanced creativity for vivid narratives -...66K2,750 cr5,500 cr
TheDrummer: Skyfall 36B V2Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.33K6,050 cr8,800 cr
TheDrummer: UnslopNemo 12BUnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.1.02M4,400 cr4,400 cr

thinkingmachines

ModelContextIn / 1MOut / 1M
Thinking Machines: InklingInkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...1.05M10,450 cr44,550 cr
Thinking Machines: Inkling (batch)Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...524K11,000 cr44,550 cr
Thinking Machines: Inkling SmallInkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...1.05M4,950 cr13,200 cr

upstage

ModelContextIn / 1MOut / 1M
Upstage: Solar Pro 3Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...131K1,650 cr6,600 cr
Upstage: Solar Pro 4Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive...524K330 cr1,320 cr

cognitivecomputations

ModelContextIn / 1MOut / 1M
Venice: UncensoredVenice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an “uncensored” instruct-tuned LLM, preserving...128K2,200 cr9,900 cr

writer

ModelContextIn / 1MOut / 1M
Writer: Palmyra X5Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context windows up to 1 million...1.04M6,600 cr66,000 cr

xiaomi

ModelContextIn / 1MOut / 1M
Xiaomi: MiMo-V2.5MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...1.05M1,540 cr3,080 cr
Xiaomi: MiMo-V2.5-ProMiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....1.05M4,785 cr9,570 cr

z-ai

ModelContextIn / 1MOut / 1M
Z.ai: GLM 4.5GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...131K6,600 cr24,200 cr
Z.ai: GLM 4.5 AirGLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...131K1,430 cr9,350 cr
Z.ai: GLM 4.5VGLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...66K6,600 cr19,800 cr
Z.ai: GLM 4.6Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...205K5,500 cr22,000 cr
Z.ai: GLM 4.6VGLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...131K3,300 cr9,900 cr
Z.ai: GLM 4.7GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...205K4,400 cr19,250 cr
Z.ai: GLM 4.7 FlashAs a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...203K660 cr4,400 cr
Z.ai: GLM 5GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...205K6,600 cr21,120 cr
Z.ai: GLM 5 TurboGLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...203K13,200 cr44,000 cr
Z.ai: GLM 5.1GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...205K10,626 cr33,396 cr
Z.ai: GLM 5.2GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...1.05M10,626 cr33,396 cr
Z.ai: GLM 5.2 (batch)GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...1.05M15,400 cr48,400 cr
Z.ai: GLM 5.2 (free)GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...256K0 cr0 cr
Z.ai: GLM 5.3GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...1.05M15,400 cr48,400 cr
Z.ai: GLM 5V TurboGLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...203K13,200 cr44,000 cr

~z-ai

ModelContextIn / 1MOut / 1M
Z.ai: GLM LatestThis model always redirects to the latest GLM model from Z.ai.1.05M15,400 cr48,400 cr

~x-ai

ModelContextIn / 1MOut / 1M
xAI: Grok LatestThis model always redirects to the latest Grok model from xAI.500K22,000 cr66,000 cr
Sign up free