Model record
LongCat 2.0 model overview
LongCat 2.0 is a open weights model from Meituan. Its release date was unavailable during review. Its strongest case is mit-licensed weights, while buyers should account for exact release date and serving context are unavailable.
LongCat 2.0 benchmark snapshot
| Evaluation | Reported score | What it probes |
|---|---|---|
| MMLU-Pro | Not reported | Broad knowledge and multi-step reasoning |
| GPQA Diamond | Not reported | Graduate-level science reasoning |
| SWE-bench Verified | Not reported | Verified real-repository issue resolution |
| LiveCodeBench | Not reported | Contamination-aware competitive programming |
| SWE-Bench Pro | Not reported | Longer, harder professional software tasks |
| Artificial Analysis Intelligence Index | Not reported | Composite third-party capability index; version matters |
Scores are percentages reported by model creators or benchmark maintainers under varying settings. A blank is preferable to an inferred result. See our methodology.
LongCat 2.0 strengths
- MIT-licensed weights
- Low active fraction for its total scale
- Coding and agent positioning
LongCat 2.0 limitations
- Exact release date and serving context are unavailable
- No current model-specific API prices
- Official serving guidance centers on SGLang rather than verified vLLM support
Editorial take: Benchmark rank should narrow a shortlist, not close a purchase. Run a private evaluation with representative prompts, failure cases, latency targets, and total token costs.
Source record
Specifications and scores are linked to the best source located during review. Provider-reported results are not presented as third-party lab reproductions.
Source limitation: Training on one-million-token data is not presented as an exact serving-context limit. Runtime compatibility must be verified separately.
Read Meituan LongCat 2.0 repository and model card ↗