Models

NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

Compact Gemma 4 instruction model for open, self-hosted chat and reasoning

MiniMax multimodal model for long-context coding, perception, and agent planning

Balanced Mistral model for enterprise assistants, multilingual work, and tools

Open MiMo model for multimodal coding agents and long-context automation

Qwen vision-language model for visual reasoning, documents, and agent tasks

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Open multimodal Qwen MoE for local agents that need vision, audio, and code

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Open Gemma instruction model for efficient chat and self-hosted deployments

Open Gemma instruction model for efficient chat and self-hosted deployments

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

Qwen instruction model for multilingual chat, reasoning, and tool use

Compact multimodal coding model for repository exploration, file editing, and software agents

Mistral's largest general model for enterprise agents, coding, and multilingual reasoning

Compact multimodal Mistral model for local assistants, edge agents, and efficient tool use

Mistral vision-language model for image understanding and multimodal chat