Models

Open-weight mixture-of-experts model with about 2.5B active parameters for local coding agents

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

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

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.

NVIDIA Nemotron 3.5 Super reasoning model (120B total, 12B active) served with text-only input

LightOnOCR-3-0.8B is the lightest model of LightOn's LightOnOCR-3 family, with the same layout and visual understanding features as its larger siblings.

First MoE MiniCPM-V model for single-image, multi-image and video understanding

Compact MiniCPM-V model for single-image, multi-image and video understanding

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

Aleph Alpha's German and English mixture-of-experts reasoning model (78B total, 3.46B active) for chat, RAG and agents

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

Unified text-to-image generation and image editing model with native RGBA transparency and reference-image editing

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

Open-weight translation model for more than 50 languages and locale variants

Dense 2B-class open-source model for on-device and resource-constrained use, with native long-context support, tool calling, and agentic tasks

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

Finance-enhanced model for financial research, multi-step investment workflows, and long-horizon planning and execution

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

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

Open-weight 35B MoE model for long-horizon research, forecasting, and tool-assisted work

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

Mixture-of-experts coding-reasoning model for agentic software tasks, tool use, and image understanding

Flagship GLM model for long-horizon coding, agents, and complex project delivery

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

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.

Motif 3 is a large-scale, decoder-only Mixture-of-Experts (MoE) language model with 314 billion total parameters and 13.2 billion parameters activated per token.

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

Qwen3.6-based Mixture-of-LoRA model with specialists for chat, personal agents, coding, and generative UI

GLM-5.2-based Mixture-of-LoRA model with specialists for chat, personal agents, coding, and generative UI

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

Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window

Open coding-reasoning model for repository tasks and self-improving agents

Large coding-reasoning model for agentic software tasks and RL search

Open coding-reasoning model for repository tasks and self-improving agents