Type a name, or just describe what you need. Results blend keyword and meaning-based search. 18 matches, each with an EU availability status.
Model
35B Mixture-of-Experts open-weights model from InternScience for long-horizon agentic search, engineering and tool use.
Model · Alpha Innovator
35B mixture-of-experts open-weights agentic model for engineering, long-horizon search and scientific research.
Model · Reflection AI
Reflection AI's 501B-parameter open-weight mixture-of-experts model for coding, reasoning and agentic workloads.
Model · NVIDIA
NVIDIA's open-weight 30B mixture-of-experts model with 1M-token context, aimed at long-running agent workloads.
Model · Mistral
Mistral's roughly 1-trillion-parameter multimodal mixture-of-experts model with open weights, trained in Europe.
Model · Tencent
Tencent's open-weights 295B Mixture-of-Experts model (21B active) for reasoning and agentic coding.
Model · Meta
Meta's open-weight 816B-parameter mixture-of-experts model (42B active, 1M context) in the Muse model family.
NVIDIA's open-weight ~550B mixture-of-experts LLM with a hybrid Mamba-transformer design, aimed at agentic workloads.
Model · Ant Group
Ant Group's multimodal mixture-of-experts model (560B total, 25B active) in the Ling family, served via API.
Model · Meituan
Meituan's open-weights 1.6T-parameter mixture-of-experts LLM (48B active), aimed at agentic coding and reasoning tasks.
Model · AMD
AMD's fully open 16B-parameter Mixture-of-Experts language model with 2.8B active parameters, trained on Instinct GPUs.
Model · Liquid AI
Liquid AI's 24B-parameter mixture-of-experts LFM with 2B active parameters, built for fast on-device agents.
NVIDIA's open-weight mixture-of-experts speech model for offline transcription in 40 languages, up to one hour of audio.
Model · Microsoft
Microsoft AI's mixture-of-experts reasoning model, in private preview via Microsoft Foundry.
Library · Allen Institute for AI
Ai2's open-source PyTorch library of building blocks and training scripts for OLMo language models, including MoE training.
Model · Sand AI
Open-weights 114B MoE model from Sand AI that generates synchronized video and audio from text or image prompts.
Model · Apexin
35B-parameter model from Apexin, built on Qwen3.6-35B-A3B and tuned for automated research and robotics simulation.
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.
