Type a name, or just describe what you need. Results blend keyword and meaning-based search. 29 matches, each with an EU availability status.
Model · OpenAI
OpenAI's open-weight reasoning models, gpt-oss-120b and gpt-oss-20b, released under Apache 2.0.
Model · Thinking Machines Lab
Open-weight 952B-parameter language model from Thinking Machines Lab, its first public open-weight release.
Model · Meta
Meta's open-weight 816B-parameter mixture-of-experts model (42B active, 1M context) in the Muse model family.
Model · Accio Lab
Open-weights 35B MoE (3B active) agentic model from Accio Lab, post-trained from Qwen3.6-35B-A3B.
Meta's open-weights 30B dense model for local agents, tuned for tool use and long tasks, Apache 2.0 licensed.
Model · Z.ai
Z.ai's open-weights 753B MoE language model, a post-trained GLM-5.2 aimed at coding, agentic tasks and cybersecurity.
Model · Thinking Machines
Open-weights multimodal MoE model (276B total, 12B active) from Thinking Machines; text, image and audio in, text out.
Model · Google
Google DeepMind's family of open-weights models built from Gemini technology, from phone-sized to laptop-class variants.
Model
35B Mixture-of-Experts open-weights model from InternScience for long-horizon agentic search, engineering and tool use.
Google's open-weights 12B multimodal (text and image input) instruction-tuned model from the Gemma 3 family.
Model · MiniMax
Open-weight video generation model from MiniMax, part of its H3 family alongside H3 Image.
Model · Reflection AI
Reflection AI's 501B-parameter open-weight mixture-of-experts model for coding, reasoning and agentic workloads.
Model · Alibaba
Alibaba's open-weights 2.4T-parameter MoE language model (95B active) from the Qwen3.8 family, with a hosted Max version.
Open-weights native multimodal MoE model from MiniMax, ~428B parameters (~23B active) with 1M-token context.
Model · DeepSeek
Open-weights multimodal DeepSeek model in the V4 family, offered via API, chat and downloadable weights.
Open model family (9B dense, 35B MoE, 397B MoE) trained with a self-improvement loop for reasoning, coding and agentic tasks.
Model · Meituan
Meituan's open-weights 1.6T-parameter multimodal MoE model (48B active) for agentic coding and visual tasks.
Open-weights 35B-A3B agentic model post-trained from Qwen3.6-35B-A3B for search, coding and scientific research.
Model · Moonshot AI
Moonshot AI's open-weight 2.8T-parameter multimodal MoE agentic model with 1M-token context.
Model · DiffuSpace AI
Open-weights diffusion language model from DiffuSpace AI with 35B total and 3B active parameters.
Model · DeepPrinciple
753B-parameter open-weights scientific-discovery model from DeepPrinciple, post-trained from GLM 5.3.
Model · Princeton
Fully open 3B text-to-image diffusion model from Princeton with released weights, training code, and data pipeline.
Open 7.39B dense model for math reasoning and agentic search, with a 256K context and the full training pipeline released.
Family of four open MoE language models (19B to 280B), reportedly pruned from DeepSeek and Qwen bases.
