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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-5.3-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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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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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-mode
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,...
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...
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,...
Qwen 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...
Grok 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...
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...
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...
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.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
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...
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...
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...
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...
Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.
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...
Relace 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...
Mistral-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...
Claude 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%),...
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...
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| qwen3-coder-flash-2025-07-28qwen_ai_platform/qwen3-coder-flash-2025-07-28 | 997.952K | — | — | — | |||
| qwen3-coder-plusqwen_ai_platform/qwen3-coder-plus | 997.952K | — | — | — | |||
| qwen3-coder-plus-2025-07-22qwen_ai_platform/qwen3-coder-plus-2025-07-22 | 997.952K | — | — | — | |||
| qwen3-max-previewqwen_ai_platform/qwen3-max-preview | 258.048K | — | — | — | |||
| qwen3-maxqwen_ai_platform/qwen3-max | 258.048K | — | — | — | |||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | 1.04858M | $0.075 | $0.25 | — | |||
| 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 | — | |||
| 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 5.2 (batch)z-ai/glm-5.2:batch | 1.04858M | $0.7 | $2.2 | — | |||
| 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 | — | |||
| OpenAI: GPT-5.6 Terra Pro (batch)openai/gpt-5.6-terra-pro:batch | 1.05M | $1 | $6 | — | |||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | 1.04858M | Free | Free | — | |||
| Nex AGI: Nex-N2.5-Pro (free)nex-agi/nex-n2.5-pro:free | 262.144K | Free | Free | — | |||
| MiniMax: MiniMax M3minimax/minimax-m3 | 524.288K | $0.3 | $1.2 | — | |||
| Qwen: Qwen3.6 Plusqwen/qwen3.6-plus | 1M | $0.325 | $1.95 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 1M | $1 | $2 | — | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1.04858M | $0.15 | $1.25 | — | |||
| Meta: Muse Glimmer 30B (batch)meta/muse-glimmer-30b:batch | 131.072K | $0.175 | $0.75 | — | |||
| Google: Gemini 3.5 Flash Lite (batch)google/gemini-3.5-flash-lite:batch | 1.04858M | $0.15 | $1.25 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 262.144K | $0.15 | $0.15 | — | |||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 400K | $0.625 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 200K | $0.5 | $2.5 | — | |||
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | 1M | $3 | $15 | — | |||
| Anthropic: Claude Opus 4.1anthropic/claude-opus-4.1 | 200K | $15 | $75 | — | |||
| TheDrummer: Cydonia 24B V4.1thedrummer/cydonia-24b-v4.1 | 131.072K | $0.3 | $0.5 | — | |||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | 200K | $7.5 | $37.5 | — | |||
| Relace: Relace Apply 3relace/relace-apply-3 | 256K | $0.85 | $1.25 | — | |||
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | 128K | $0.075 | $0.2 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 200K | $3 | $15 | — | |||
| OpenAI: GPT-5.4 Pro (batch)openai/gpt-5.4-pro:batch | 1.05M | $15 | $90 | — | |||
| gpt-chat-latestazure/gpt-chat-latest | 272K | $5 | $30 | — |