LongCat-Flash-Thinking-2601: benchmark scores, price and ranking
LongCat-Flash-Thinking-2601 from meituan-longcat ranks #159 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.9), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- meituan-longcat
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #159 of 743 (score 50.9)
Across the 1 benchmark where at least ten models are scored, LongCat-Flash-Thinking-2601 is in the top 10% on 0 and in the top half on 1.
LongCat-Flash-Thinking-2601 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GPQA Diamond | 80.5% | #103 of 275 | HuggingFace GPQA Diamond leaderboard | 2026-10-13 |
About LongCat-Flash-Thinking-2601
LongCat-Flash-Thinking-2601 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-Thinking-2601 stands
On our aggregate score, LongCat-Flash-Thinking-2601 is #159 of 743 ranked models, in the top quarter. Its score is 50.9; the scale is centred on 50, so it sits 0.9 points above the typical model. That beats 79% of the ranked field. Among the 3 ranked meituan-longcat models it is #3. The next one up is LongCat-Flash-Lite at 51.0.
LongCat-Flash-Thinking-2601, benchmark by benchmark
GPQA Diamond puts LongCat-Flash-Thinking-2601 at 80.5%, #103 of 275. That beats 63% of the models tested, but 15.3 points short of GPT-6 Astra (max) (95.8%). The results either side are EXAONE-4.5-33B (80.5%) and Claude Sonnet 5 (max) (80.3%). It covers expert-level science questions. The board median is 71.7%, so LongCat-Flash-Thinking-2601 is 8.8 points above it. Source: HuggingFace GPQA Diamond leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace GPQA Diamond 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
- #156 Dracarys2-72B-Instruct (50.9)
- #157 gemini-1.5-pro-exp-0827 (50.9)
- #158 GPT-5.6 Luna 2026-07-30 (Max) (50.9)
- #160 MiniMax-M1-80k (50.9)
- #161 Optimus Alpha (50.9)
- #162 DeepSeek-V2.5 (50.9)
More from meituan-longcat
- LongCat-Flash-Chat (#111, 51.6)
- LongCat-Flash-Lite (#151, 51.0)
Compare it on the live leaderboard → · How the aggregate score works