Identity
- Type
- big tech
- Country label
- China
- HQ country
- China
- Founding country
- not in the notes
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
LongCat-2.0LLM29 Jun 2026
LongCat-Videovideo generationOct 2025
LongCat-Flash (LongCat-Flash-Chat)LLM1 Sep 2025
MultiTalkavatar28 May 2025
MTGRrecommendation24 May 2025
YOLOv6vision7 Sep 2022
TwinsMeituan, University of Adelaidevision28 Apr 2021
STDCvision27 Apr 2021
LongCatLLM–Links
Organisation
Meituanbig tech, China
Meituanbig tech, ChinaModels
LongCat-2.0Meituan, LLM
LongCat-VideoMeituan, video generation
LongCat-Flash (LongCat-Flash-Chat)Meituan, LLM
MultiTalkMeituan, avatar+5 more
LongCat-2.0Meituan, LLM
LongCat-VideoMeituan, video generation
LongCat-Flash (LongCat-Flash-Chat)Meituan, LLM
MultiTalkMeituan, avatar+5 moreUse Casesnone recorded
Who Runs Itnone recorded
Models 9
LongCat-2.0Meituan, LLMDeveloper
LongCat-Flash (LongCat-Flash-Chat)Meituan, LLMDeveloper
LongCatMeituan, LLMDeveloper
MTGRMeituan, recommendationDeveloper
TwinsMeituan, University of Adelaide, visionDeveloper
LongCat-VideoMeituan, video generationDeveloper
MultiTalkMeituan, avatarDeveloper
STDCMeituan, visionDeveloper
YOLOv6Meituan, visionDeveloperScores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| GPQA Diamond | LongCat-Flash (LongCat-Flash-Chat) | 73.23 % | vendor-reported | acc |
| MMLU | LongCat-Flash (LongCat-Flash-Chat) | 89.71 % | vendor-reported | acc |
| MMLU-Pro | LongCat-Flash (LongCat-Flash-Chat) | 82.68 % | vendor-reported | acc |
| SWE-bench Verified | LongCat-Flash (LongCat-Flash-Chat) | 60.4 % | vendor-reported | acc |
| tau2-bench | LongCat-Flash (LongCat-Flash-Chat) | 73.68 % | vendor-reported | Telecom, avg@4 |
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- MTGR: Industrial-Scale Generative Recommendation Framework in Meituan arxiv.org https://arxiv.org/abs/2505.18654
- Text-to-Video Models – Hugging Face huggingface.co https://huggingface.co/models?pipeline_tag=text-to-video&sort=trending
- en.wikipedia.org/wiki/Meituan https://en.wikipedia.org/wiki/Meituan
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Meituan", https://aurion.semai.id/organisations/meituan/, records of October 2026.