Meituan Releases LongCat-2.5, a 1.6T-Parameter Model With a 1M-Token Context Window

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Meituan released LongCat-2.5 on November 2, a model with roughly 1.6 trillion total parameters and about 48 billion active per token, according to TechNode. Its API documentation lists a 1-million-token context window, an Anthropic-compatible endpoint, and a guide for using the model within Claude Code, priced at $0.30 per million input tokens and $1.20 per million output tokens. Meituan says the model is natively multimodal, targets long-horizon agent tasks, and was trained on domestic Chinese chips. Its published benchmark scores fall between Claude Opus 4.8 and Claude Opus 5 on several tests, though the comparison set does not include the Opus version Claude Code currently resolves to. Meituan has not yet released the model weights, saying GitHub and Hugging Face releases will follow without a date.

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