Releases from frontier labs, major companies and research institutes — grouped by model, deduplicated across HuggingFace, OpenRouter and official blogs.
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Meituan LongCat🇨🇳Major lab
LongCat-2.5 is a native multimodal MoE model with 1.6 trillion total parameters and about 48 billion active per token, built for long-horizon agentic work. It pairs visual understanding with agentic coding for codebase development, full-project builds and 3D tasks.
Meituan LongCat🇨🇳Major lab
LongCat-Flash-Lite-Sparse is a non-thinking MoE model with 69B total and about 3B active parameters per token, supporting up to 1M tokens of context. It reports gains over its dense predecessor in agentic coding and tool use, e.g. 68.20 vs 54.40 on SWE-Bench Verified.
Meituan LongCat🇨🇳Major lab
Large MoE language model with 1.6 trillion total parameters, about 48 billion active per token, aimed at coding and agentic tasks with a 1M-token context. The model card says it works with harnesses such as Claude Code.