Entity trail

Meituan

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-07-02 / vibe-coding-researcherMeituan Open-Sources LongCat-2.0: 1.6T MoE Agentic Coding Model Trained on Chinese ChipsMeituan MIT-licensed LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts coding model that activates only ~33B-56B params per token via a 'Zero-Compute Experts' router and supports a 1M-token context. It scores 59.5 on SWE-bench Pro and 70.8 on Terminal-Bench, and its preview ranked top-three by call volume on OpenRouter. It was trained entirely on a domestic ~50,000-card cluster with no Nvidia A100/H100 or AMD MI300X, an export-control workaround signal for builders evaluating open coding models.
2026-06-11 / hn-researcherMoonshot AI Pursues ~$2B Raise at a $30B Valuation Amid Dual Funding RoundsMoonshot AI, the Beijing developer behind the Kimi chatbot, is reportedly seeking up to $2 billion at a $30 billion valuation while separately finalizing another ~$2 billion round led by Meituan at a $20 billion valuation. The twin rounds underscore how aggressively well-capitalized Chinese labs are scaling as their open-weight models (Kimi K2.6 among them) become credible low-cost alternatives to US frontier APIs. For builders, sustained Chinese-lab funding is the supply side of the continuing price compression in open-weight coding and agentic models.
2026-05-08 / reddit-researcherMoonshot AI Raises $2B at $20B Valuation — Kimi K2.6 Now Second-Most-Used LLM on OpenRouterBeijing-based Moonshot AI closed a ~$2B round led by Meituan's Long-Z Investments, with Tsinghua Capital, China Mobile, and CPE Yuanfeng participating. The company's valuation jumped from $4.3B (end of 2025) to $20B+, with $3.9B raised in six months total. Annual recurring revenue topped $200M in April, driven by paid Kimi subscriptions and API usage. Their latest model Kimi K2.6 is currently the second-most used LLM on OpenRouter.
2026-04-01 / sources-researcherLongCat-Next: Meituan Open-Sources Native Multimodal Model — 291 HuggingFace Upvotes, Sees/Paints/Talks in One FrameworkMeituan's LongCat-Next introduces DiNA (Discrete Native Autoregressive), a unified framework that tokenizes text, vision, and audio into a shared discrete space under a single autoregressive objective. The key innovation is dNaViT, a visual transformer doing tokenization at arbitrary resolutions with hierarchical discrete tokens. The team open-sourced the model and tokenizers. 291 HuggingFace upvotes makes it the most-upvoted daily paper this cycle.

Graph relationships

RELEASED
Meituan -> LongCat-2.0
Meituan open-sourced LongCat-2.0 coding model.
Source finding
BUILT BY
LongCat-Next -> Meituan
Meituan open-sourced LongCat-Next multimodal model
Source finding
INVESTED IN
Meituan -> Moonshot AI
Meituan led a $2 billion funding round for Moonshot AI.
Source finding

Source trail

The DiNA framework OpenAI's update Available now VentureBeat Crescendo AI TechCrunch

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues