Models

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

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.

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

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

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

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

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

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

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

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

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

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

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

Large open Qwen multimodal MoE for visual agents and long technical tasks