LongCat-Flash-Chat: benchmark scores, price and ranking
LongCat-Flash-Chat from meituan-longcat ranks #111 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.6), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- meituan-longcat
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #111 of 743 (score 51.6)
Across the 1 benchmark where at least ten models are scored, LongCat-Flash-Chat is in the top 10% on 0 and in the top half on 1.
LongCat-Flash-Chat benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 82.7% | #23 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About LongCat-Flash-Chat
LongCat-Flash-Chat is an open-weight model that can run on your own hardware from meituan-longcat. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where LongCat-Flash-Chat stands
On our aggregate score, LongCat-Flash-Chat is #111 of 743 ranked models, in the top quarter. Its score is 51.6; the scale is centred on 50, so it sits 1.6 points above the typical model. That beats 85% of the ranked field. Among the 3 ranked meituan-longcat models it is #1. The next one down is LongCat-Flash-Lite at 51.0.
LongCat-Flash-Chat, benchmark by benchmark
MMLU-Pro puts LongCat-Flash-Chat at 82.7%, #23 of 136. That beats 83% of the models tested, but 5.4 points short of Darwin-180B-RSI (88.1%). The results either side are Qwen3-235B-A22B-Instruct-2507 (83.0%) and seed-oss-36b-instruct (82.7%). It covers 57-subject knowledge + reasoning. The board median is 55.3%, so LongCat-Flash-Chat is 27.4 points above it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #108 DeepSeek v4 Pro (max) (51.6)
- #109 GLM-5.2 (high) (51.6)
- #110 Hy3-preview (51.6)
- #112 Darwin-27B-Opus (51.5)
- #113 Muse Spark 1.2 (xhigh) (51.5)
- #114 NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 (51.5)
More from meituan-longcat
- LongCat-Flash-Lite (#151, 51.0)
- LongCat-Flash-Thinking-2601 (#159, 50.9)
Compare it on the live leaderboard → · How the aggregate score works