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.

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

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

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

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

Agentic coding model from Poolside in the XS size class for local deployment

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

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

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

MiMo pro model for strong multimodal reasoning and agent execution

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

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

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

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

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

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

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

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

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

Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use

Efficient Mistral model for fast chat, extraction, and production assistants

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

General GLM flagship for coding, analysis, and tool-heavy engineering workflows

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

MiMo flash model for fast multimodal assistance and agent workflows

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

Mistral's coding-agent model for repository work, terminal tasks, and software fixes

Lightweight GLM vision model for visual reasoning, documents, and multimodal agents

GLM vision model for visual reasoning, documents, and multimodal agents

Reasoning-tuned 26B MoE model with 3B active parameters for agents, tools, and multi-step workloads

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

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

Nemotron multimodal model for visual reasoning and agentic AI workflows

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

Efficient Qwen thinking model for local reasoning, math, and coding agents

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

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes

Compact Nemotron model for efficient reasoning and deployable AI agents