Models

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

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Quality-first multi-agent model for hard research, analysis, and competitions

Google's most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows

Multi-agent model for routing expert agents across complex analytical tasks

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Reasoning-first Gemini preview for agentic coding and complex problem solving

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

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

Fast Gemini model balancing multimodal reasoning, tool use, and cost