Type a name, or just describe what you need. Results blend keyword and meaning-based search. 29 matches, each with an EU availability status.
Research
Research method for long-context video generation using hierarchical latents and coarse-to-fine rollout.
Model · Alibaba
Alibaba's upgraded Qwen3.8-Max snapshot with 1M context, thinking mode and stronger coding and agent performance, via API.
Model · SenseTime
9B-parameter looped multimodal model from SenseTime that reuses a layer block twice for long-context and agentic tasks.
Research · Google
Google research training framework alternating wake and sleep phases for memory consolidation and self-generated practice.
Model · Baidu
Baidu's open-source OCR model that parses very long multi-page documents in one pass with near-constant decoding cost.
Model · xAI
xAI's Grok 4.7 language model for coding and knowledge work, available via API, Cursor and Grok Build.
Model · NVIDIA
NVIDIA's open-weight 30B mixture-of-experts model with 1M-token context, aimed at long-running agent workloads.
Baidu's open-weights vision-language OCR model for parsing very long, multi-page documents.
Model · Meta
Closed-source Meta model for coding and agentic workflows with 1M-token context and multimodal input, offered via API.
Model · Google
Smaller, faster, lower-cost Gemini 4 model from Google DeepMind with a 1M-token context window.
Model · Moonshot AI
Moonshot AI's open-weight 2.8T-parameter multimodal MoE agentic model with 1M-token context.
Baidu's open-weights 280B-parameter sparse MoE base model (14B active) with 1M-token context, released pre-post-training.
Meta's open-weight 816B-parameter mixture-of-experts model (42B active, 1M context) in the Muse model family.
Model · Recursive Intelligence
Dense 65B open-weight language model from Ricursive Intelligence, trained for agentic coding with up to 1M context.
Model · IQuest Lab
320B-parameter MoE model (15B active) from IQuest for agentic coding and tool use, with 512K context.
Model · inclusionAI
Open-weights 560B hybrid-linear MoE reasoning model (25B active, 1M context) from inclusionAI, MIT licensed.
Model
35B Mixture-of-Experts open-weights model from InternScience for long-horizon agentic search, engineering and tool use.
Model · OpenBMB
1B-parameter dense open-weights language model from OpenBMB for on-device use, with hybrid thinking and 128K context.
Model · MiniMax
Open-weights native multimodal MoE model from MiniMax, ~428B parameters (~23B active) with 1M-token context.
Alibaba's fast multimodal Qwen model with text, image, audio and video input, 1M-token context and real-time streaming.
Model · StepFun
StepFun's Step 5 Preview: a large MoE model (reported ~600B total, 27B active, 1M context) for coding and reasoning.
Model · Liquid AI
Liquid AI's LFM3 family of small multimodal foundation models for on-device, edge and cloud use.
Alibaba's open-weights 2.4T-parameter MoE language model (95B active) from the Qwen3.8 family, with a hosted Max version.
Model · MemTensor
Open-weights memory foundation model from MemTensor with a fixed-size persistent memory state, built on Qwen3.6-35B-A3B.
