Models

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

Muse Spark Open is an 816B total / 42B active open-weight multimodal reasoning model from Meta for coding and long-horizon agentic work, with 1M-token context.

Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows

Efficient model for low-latency assistance, extraction, and routine automation

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

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

MiMo pro model for strong multimodal reasoning and agent execution

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 hybrid MoE model for image and video understanding, reasoning, and visual agents

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

Reasoning model for deliberate analysis, multi-step problem solving, and tool use

Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work

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

Hybrid-linear MoE reasoning model with 124B total and 5.1B active parameters for efficient agents

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

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

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

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

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

Poolside's open-weight model for agentic coding and long-horizon work

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

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

Initial DeepSeek V4 Flash snapshot for economical reasoning, coding, and million-token agent workloads

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

Tencent Hy reasoning model for coding, instruction following, 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

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

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

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

Flagship Indian-language reasoning model for enterprise multilingual applications

Efficient Indian-language reasoning model for chat, coding, and multilingual work

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