Guide

Reka 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,...

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step...

MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like...

MiniMax-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...

MiniMax-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...

Open MiniMax flagship for coding agents, office automation, and complex environments

Open MiniMax flagship for coding agents, office automation, and complex environments

MiniMax model for chat, coding, office work, and agentic tasks

Open MiniMax flagship for coding agents, office automation, and complex environments

Open MiniMax flagship for coding agents, office automation, and complex environments

Low-latency M2.7 variant for interactive coding plans and agent loops

Open MiniMax flagship for coding agents, office automation, and complex environments

Low-latency M2.7 variant for interactive coding plans and agent loops

Legacy model retained for compatibility with older integrations

Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks

MiniMax model for chat, coding, office work, and agentic tasks

MiniMax model for chat, coding, office work, and agentic tasks

Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks

MiniMax model for chat, coding, office work, and agentic tasks

Low-latency M2.7 variant for interactive coding plans and agent loops

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...

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...

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,...

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,...

Strong small GPT for coding subagents, quick tool use, and high-volume work

Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation

Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation

Strong small GPT for coding subagents, quick tool use, and high-volume work

Strong small GPT for coding subagents, quick tool use, and high-volume work

Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation

Strong small GPT for coding subagents, quick tool use, and high-volume work

Mistral 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...

Mistral 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...

Efficient Mistral model for fast chat, extraction, and production assistants

Fast Mistral production model for chat, extraction, and cost-sensitive agents

Fast Mistral production model for chat, extraction, and cost-sensitive agents

Faster GLM-5 lane for coding agents that need lower latency

Faster GLM-5 lane for coding agents that need lower latency

Speech generation model for controllable voice, narration, and audio delivery

Speech transcription model for accurate audio-to-text and captioning workflows

GLM-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...

Faster GLM-5 lane for coding agents that need lower latency

Hugging Face is the leading open-source AI platform and community hub, providing access to hundreds of thousands of models, datasets, and AI applications through its Inference Providers API. The platform offers a unified OpenAI-compatible API endpoint (router.huggingface.co) that routes requests to multiple inference providers including Cerebras, Fireworks, Groq, Nebius, Novita, SambaNova, Together AI, and more, giving you access to top open-source models like Llama, Mistral, DeepSeek, Qwen, and Gemma. Key features include pay-per-token pricing with free tier access, support for text generation, image generation, and multimodal models, seamless switching between inference providers, and integration with the broader Hugging Face ecosystem of tools and libraries.

Grok 4.20 Multi-Agent Beta is a variant of xAI’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 across complex tasks. Reasoning effort behavior: - low / medium: 4 agents - high / xhigh: 16 agents

Grok 4.20 Beta is xAI's newest flagship model with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently precise and truthful responses. Reasoning can be enabled/disabled using the `reasoning` `enabled` parameter in the API. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#controlling-reasoning-tokens)

Grok 4.20 Beta from Venice AI - text, image input, 2,000,000 token context

Grok 4.20 Multi-Agent Beta from Venice AI - text, image input, 2,000,000 token context

Grok model for agentic tool use, reasoning, coding, and live assistance

Grok model for agentic tool use, reasoning, coding, and live assistance

Hunter Alpha is a 1 Trillion parameter + 1M token context frontier intelligence model built for agentic use. It excels at long-horizon planning, complex reasoning, and sustained multi-step task execution, with the reliability and instruction-following precision that frameworks like OpenClaw need. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.

Healer Alpha is a frontier omni-modal model with vision, hearing, reasoning, and action capabilities. It brings the full power of agentic intelligence into the real world: natively perceiving visual and audio inputs, reasoning across modalities, and executing complex multi-step tasks with precision and reliability. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.