Models

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

StepFun's next-generation flagship base model for coding and professional knowledge work, with native text, image, and video input and a 1M-token context window

DeepSeek V4.1 Flash model for reasoning and agentic coding

Native multimodal GLM model for efficient coding and long-horizon agent tasks

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

Gemma 4 based discrete text diffusion model for fast chat, reasoning, and tool use

Safety model for policy screening, moderation, and risk-aware routing workflows

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

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Reranking model for improving retrieval quality in search and recommendation systems

Nemotron multimodal model for visual reasoning and agentic AI workflows

Efficient on-device Gemma 3n model for text, image, and audio understanding

Efficient on-device Gemma 3n model for text, image, and audio understanding

Multimodal Llama 4-based safety classifier for moderating prompts and responses

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

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

Compact Microsoft multimodal model for text, image, and speech understanding

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

Large open multimodal Llama model for image reasoning, document QA, and captioning