Models

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

Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work

Native multimodal hybrid MoE model for image and video understanding, reasoning, and visual agents

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

Open MoE flagship with million-token context for coding and long agent runs

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

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

Newer StepFun flash model for faster agents, coding, and multimodal prompts

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

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

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

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use

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.

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

Open GPT reasoning model for self-hosted agents and controllable deployments

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

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

Thinking Kimi model for slower research passes, planning, and hard technical questions

Open GPT reasoning model for self-hosted agents and controllable deployments