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Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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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,...
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No provider description is available for this model yet.
No provider description is available for this model yet.
GLM-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...
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No provider description is available for this model yet.
No provider description is available for this model yet.
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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No provider description is available for this model yet.
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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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,...
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,...
Muse 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...
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Qwen3-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...
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,...
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...
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...
GLM-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...
Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.
Qwen3.8 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...
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-mode
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
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...
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,...
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
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No provider description is available for this model yet.
No provider description is available for this model yet.
DeepSeek 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....
Mercury 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...
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...
Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| qwen3-maxqwen_ai_platform/qwen3-max | 258.048K | — | — | — | |||
| qwen3-max-2026-01-23qwen_ai_platform/qwen3-max-2026-01-23 | 258.048K | — | — | — | |||
| qwen3-next-80b-a3b-instructqwen_ai_platform/qwen3-next-80b-a3b-instruct | 262.144K | $0.15 | $1.2 | — | |||
| Z.ai: GLM 5.2 (batch)z-ai/glm-5.2:batch | 1.04858M | $0.7 | $2.2 | — | |||
| qwen3-next-80b-a3b-thinkingqwen_ai_platform/qwen3-next-80b-a3b-thinking | 262.144K | $0.15 | $1.2 | — | |||
| qwen3-vl-235b-a22b-instructqwen_ai_platform/qwen3-vl-235b-a22b-instruct | 131.072K | $0.4 | $1.6 | — | |||
| qwen3-vl-235b-a22b-thinkingqwen_ai_platform/qwen3-vl-235b-a22b-thinking | 131.072K | $0.4 | $4 | — | |||
| Z.ai: GLM 5.3z-ai/glm-5.3 | 1.04858M | $1.4 | $4.4 | — | |||
| qwen3-vl-32b-instructqwen_ai_platform/qwen3-vl-32b-instruct | 131.072K | $0.16 | $0.64 | — | |||
| qwen3-vl-32b-thinkingqwen_ai_platform/qwen3-vl-32b-thinking | 131.072K | $0.16 | $2.87 | — | |||
| qwen3-vl-plusqwen_ai_platform/qwen3-vl-plus | 260.096K | — | — | — | |||
| qwen3.5-plusqwen_ai_platform/qwen3.5-plus | 991.808K | — | — | — | |||
| qwen3.7-maxqwen_ai_platform/qwen3.7-max | 991.808K | $2.5 | $7.5 | — | |||
| qwen3.7-plusqwen_ai_platform/qwen3.7-plus | 991.808K | — | — | — | |||
| qwen3.8-maxqwen_ai_platform/qwen3.8-max | 991.808K | $2 | $6 | — | |||
| databricks-deepseek-v4-flash-0731databricks/databricks-deepseek-v4-flash-0731 | 1M | $0.14 | $0.28 | — | |||
| databricks-deepseek-v4-pro-0813databricks/databricks-deepseek-v4-pro-0813 | 1M | $1.32 | $3.96 | — | |||
| zai-org/GLM-5.3-Flashfriendliai/zai-org/glm-5.3-flash | 1.04858M | $0.15 | $0.5 | — | |||
| zai-org/GLM-5.3friendliai/zai-org/glm-5.3 | 1.04858M | $1.26 | $3.96 | — | |||
| GigaChat-2gigachat/gigachat-2 | 128K | — | — | — | |||
| claude-fable-5-1vertex_ai-anthropic_models/claude-fable-5-1 | 1M | $10 | $50 | — | |||
| claude-fable-5-1@defaultvertex_ai-anthropic_models/claude-fable-5-1@default | 1M | $10 | $50 | — | |||
| glm-5.2zai/glm-5.2 | 1M | $1.4 | $4.4 | — | |||
| Qwen/Qwen3.8-Flashtogether_ai/qwen/qwen3.8-flash | 1M | $0.15 | $0.47 | — | |||
| gemma-4-31bcerebras/gemma-4-31b | 131.072K | $0.99 | $1.49 | — | |||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | 1.04858M | Free | Free | — | |||
| Anthropic: Claude Sonnet 5 (batch)anthropic/claude-sonnet-5:batch | 1M | $1 | $5 | — | |||
| Meta: Muse Glimmer 30B (batch)meta/muse-glimmer-30b:batch | 131.072K | $0.175 | $0.75 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 262.144K | $0.075 | $0.075 | — | |||
| Qwen: Qwen3 VL 32B Instructqwen/qwen3-vl-32b-instruct | 131.072K | $0.104 | $0.416 | — | |||
| MiniMax: MiniMax M3 (batch)minimax/minimax-m3:batch | 524.288K | $0.3 | $1.2 | — | |||
| OpenAI: GPT-6 Astra (batch)openai/gpt-6-astra:batch | 1.05M | $5 | $25 | — | |||
| Google: Gemini 3.8 Flash (batch)google/gemini-3.8-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| DeepSeek: DeepSeek V4 Flash Vision Exp (batch)deepseek/deepseek-v4-flash-vision-exp:batch | 1.04858M | $0.11 | $0.33 | — | |||
| OpenAI: GPT-5.6 Luna (batch)openai/gpt-5.6-luna:batch | 1.05M | $0.1 | $0.6 | — | |||
| Z.ai: GLM 5.3 (batch)z-ai/glm-5.3:batch | 1.04858M | $0.7 | $2.2 | — | |||
| SpaceXAI: Grok 4.6x-ai/grok-4.6 | 500K | $2 | $6 | — | |||
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | 262.144K | $0.214 | $2.55 | — | |||
| OpenAI: GPT-5.6 Sol Pro (batch)openai/gpt-5.6-sol-pro:batch | 1.05M | $1 | $5 | — | |||
| Qwen: Qwen3.8 Max (0902)qwen/qwen3.8-max-0902 | 1M | $2 | $6 | — | |||
| Anthropic: Claude Opus 4.5 (batch)anthropic/claude-opus-4.5:batch | 200K | $2.5 | $12.5 | — | |||
| OpenAI: GPT-5.2 Pro (batch)openai/gpt-5.2-pro:batch | 400K | $10.5 | $84 | — | |||
| Z.ai: GLM 5.3 Flashz-ai/glm-5.3-flash | 1.04858M | $0.1 | $0.333 | — | |||
| gpt-chat-latestazure/gpt-chat-latest | 272K | $5 | $30 | — | |||
| chat-latestazure/chat-latest | 272K | $5 | $30 | — | |||
| us/gpt-chat-latestazure/us/gpt-chat-latest | 272K | $5.5 | $33 | — | |||
| DeepSeek: DeepSeek V4 Flash 0731 (batch)deepseek/deepseek-v4-flash-0731:batch | 1.04858M | $0.11 | $0.33 | — | |||
| Inception: Mercury 2inception/mercury-2 | 128K | $0.25 | $0.75 | — | |||
| Anthropic: Claude Opus 4.6 (batch)anthropic/claude-opus-4.6:batch | 1M | $2.5 | $12.5 | — | |||
| TheDrummer: Cydonia 24B V4.1thedrummer/cydonia-24b-v4.1 | 131.072K | $0.3 | $0.5 | — |