Meituan releases LongCat-2.5, a 1.6T-parameter multimodal model for agentic coding

1. 11:00 AM
   🚨 AI News | TestingCatalog@testingcatalogX

   Meituan releases LongCat-2.5, a 1.6T-parameter multimodal agentic model

   AIMeituan released LongCat-2.5, a natively multimodal agentic model with 1.6T total parameters and about 49B active. The company says it targets long-horizon agentic tasks, including complex coding and visual coding such as creative design and 3D work. Meituan says the model is compared with GPT-5.5, GPT-5.6-Sol, Claude-Opus-4.8, and Claude-Opus-5, and is now available through its API.

2. 9:35 AM
   Meituan LongCat@Meituan_LongCatOfficial

   Meituan LongCat uses LongCat-2.5 to build real-time fluid simulation webpages

   AIMeituan LongCat says LongCat-2.5 can build a real-time fluid simulation and VFX tool that generates high-FPS, interactive webpages with live fluid dynamics. The post presents it as a tool for developers, designers, and science communicators to visualize physical phenomena interactively.

   
3. 9:35 AM
   Meituan LongCat@Meituan_LongCatOfficial

   Meituan LongCat opens API with 10 million free tokens

   AIMeituan LongCat says its API is now available at New sign-ups receive 10 million tokens, and existing users receive an extra 10 million, both credited automatically to their accounts with cache hits free.

4. 9:35 AM
   Meituan LongCat@Meituan_LongCatOfficial

   Meituan LongCat-2.5 scales agentic RL for long-horizon tasks

   AIMeituan LongCat says LongCat-2.5 scales an end-to-end agentic reinforcement learning pipeline spanning data, environments, algorithms and harnesses for long-horizon tasks. Its MOPD training retains the previous model's expert groups. Per-cut prefixes and segment-capped student rollouts keep long responses stable, while shared prefill, KV-cache reuse and Tree Attention reduce sampling and training cost.

   
5. 9:35 AM
   Meituan LongCat@Meituan_LongCatOfficialPick

   Meituan LongCat introduces LongCat-2.5, a natively multimodal agentic model

   AIwith 1.6T total parameters and about 48B active. The model is built for long-horizon agentic tasks, with stronger visual understanding and agentic coding for projects ranging from complex coding to visual coding such as creative design and 3D tasks. More details are in the LongCat blog at

   
6. 2:23 AM
   LeiphoneNews

   Meituan releases LongCat-2.5, a 1.6 trillion parameter multimodal model

   AIMeituan released LongCat-2.5 on November 2, a native multimodal model with 1.6 trillion total parameters built for long-horizon agent tasks. The source says it was trained entirely on domestic compute and is the largest training run completed on domestic compute so far.

1. 9:10 PM
   PandailyNews

   Meituan releases LongCat-2.5, a 1.6T multimodal model for long-horizon agentic coding

   AIMeituan's LongCat team released LongCat-2.5, a native multimodal model with 1.6 trillion total parameters and about 48 billion active per token. Meituan's own table shows Terminal Bench v2.1 rising from 70.8 to 88.4, but the model trails the top entry on Program Bench, and the figures are not independently verified. The model is available at longcat.chat and through the LongCat API, with GitHub and Hugging Face releases promised soon.

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