Models

DeepSeek V4.1 Flash model for reasoning and agentic coding

A next-generation productivity model with significantly enhanced Agent and complex task execution capabilities.

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

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

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.

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

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

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

Tencent Hy reasoning model for coding, instruction following, and agent tasks

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

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

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

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

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

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

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

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

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

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

Tencent Hy reasoning model for coding, instruction following, and agent tasks

StepFun flash model for efficient multimodal reasoning, coding, and tool use

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

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

Nemotron middle tier for collaborative agents and high-volume reasoning workloads

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

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

Open-weight Qwen coding model for agents, repository edits, and multi-turn tool use

StepFun flash lane for quick multimodal reasoning and coding assistance

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

Small Nemotron 3 MoE for efficient coding, math, and long-context agents

DeepSeek reasoning model for multi-step analysis, math, coding, and tools

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

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

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

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

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

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

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

Sparse MoE Qwen model with 3B active parameters for efficient chat and reasoning

Cohere's RAG workhorse for long-context enterprise search and tool use

Efficient Mistral-NVIDIA open model for multilingual chat and local deployment