Type a name, or just describe what you need. Results blend keyword and meaning-based search. 16 matches, each with an EU availability status.
Model · StepFun
StepFun's Step 5 Preview: a large MoE model (reported ~600B total, 27B active, 1M context) for coding and reasoning.
Model · Alibaba
Alibaba's Qwen 3.5 large open-weights language model (~122B parameters) from the Qwen family.
Model · Mistral
Mistral's roughly 1-trillion-parameter multimodal mixture-of-experts model with open weights, trained in Europe.
Model · Moonshot AI
Moonshot AI's large language model, described as open-source with roughly 2T+ parameters, benchmarked by Artificial Analysis.
Model · Meta
Meta's proprietary large language model, cited by creators as a top US-made model on the Artificial Analysis index.
Model · Zhipu AI
Zhipu AI's GLM 5.2 large language model family, with Fast and max variants, available via Z.ai chat and API.
Alibaba's Qwen flagship large language model, offered as a hosted proprietary model via Qwen Chat and Alibaba Cloud.
Model · DeepSeek
DeepSeek's V4 Pro large language model, available via API and as an open model, with low per-token pricing.
Model
Open-weights 35B-A3B agentic model post-trained from Qwen3.6-35B-A3B for search, coding and scientific research.
Model · Anthropic
Anthropic's Claude Opus 4.8 large language model, offered via Claude subscriptions and the Anthropic API.
Library
Open-source streaming MoE inference framework for running large sparse models on laptops, phones and single-GPU PCs.
Anthropic's Claude Opus 4.6 large language model for coding, agentic work and knowledge tasks, via Claude apps and API.
Hardware · Xiaomi
Prototype compact desktop AI computer from Xiaomi with 80GB unified memory for running large models locally.
Alibaba's open-weights 2.4T-parameter MoE language model (95B active) from the Qwen3.8 family, with a hosted Max version.
Model · Thinking Machines Lab
Open-weight 952B-parameter language model from Thinking Machines Lab, its first public open-weight release.
Model · NVIDIA
NVIDIA's open-weight ~550B mixture-of-experts LLM with a hybrid Mamba-transformer design, aimed at agentic workloads.
