Models

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

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

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

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

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

Open Nemotron omni model combining reasoning with text, vision, and audio

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

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

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

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

Open multimodal Gemma instruction model for efficient text generation and image understanding

Open multimodal Gemma instruction model for multilingual text generation and image understanding

Open multimodal Llama model for image understanding, captioning, and visual QA