- MMLU(acc) 89.7
- MMLU-Pro(acc) 82.7
- ArenaHard-V2(acc) 86.5
- CEval(acc) 90.4
- CMMLU(acc) 84.3
- IFEval(acc) 89.7
- COLLIE(acc) 57.1
- Meeseeks-zh(acc) 43
- MATH500(acc) 96.4
- AIME24(avg@10) 70.4
- AIME25(avg@10) 61.3
- BeyondAIME(avg@10) 43
- GPQA-diamond(acc) 73.2
- DROP(f1) 79.1
- ZebraLogic(acc) 89.3
- GraphWalks-128k(precision) 51
- LiveCodeBench(pass@1) 48
- Humaneval+(pass@1) 88.4
- MBPP+(pass@1) 79.6
- SWE-Bench-Verified(acc) 60.4
- TerminalBench(acc) 39.5
- Mean of τ²-Bench (telecom) 73.68 / (airline) 58.00 / (retail) 71.27 (avg@4) 67.7
- AceBench(acc) 76.1
- VitaBench(avg@4) 24.3
- Mean of Safety Harmful 83.98 / Criminal 91.24 / Misinformation 81.72 / Privacy 93.98 87.7
LongCat-Flash-Chat
LongCat-Flash-Chat places in the top three on Arena-Hard v2.0.
LongCat-Flash-Chat
Open weights Flagship
- VITA-Bench 22.8% #9 /18
- AMO-Bench 14.6% #15 /21
- VitaBench 2.0 30.2% #15 /17
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Arena-Hard v2.0 | 86.5% | #2 of 24 | Lab model card | |
| MMLU | 89.7% | #17 of 131 | Lab model card | |
| IFEval | 89.7% | #36 of 135 | Lab model card | |
| MMLU-Pro | 82.7% | #54 of 167 | Lab model card | |
| LMArena (Elo) | 1,400 | #131 of 335 | Official leaderboard | |
| C-Eval | 90.4% | #18 of 46 | Lab model card | |
| Meeseeks | 43% | #1 of 2 | Lab model card | |
| CMMLU | 84.3% | #10 of 17 | Lab model card | |
| DROP | 79.1% | #27 of 41 | Lab model card | |
| COLLIE | 57.1% | #9 of 12 | Lab model card | |
| GraphWalks | 51% | #24 of 27 | Lab model card | |
| Longform Creative Writing (EQ-Bench) | 35.1 | #106 of 119 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| ZebraLogic | 89.3% | #7 of 23 | Lab model card | |
| MATH-500 | 96.4% | #29 of 70 | Lab model card | |
| GPQA Diamond | 73.2% | #158 of 302 | Lab model card | |
| AMO-Bench | 14.6% | #15 of 21 | Official leaderboard | |
| AIME 2024 | 70.4% | #63 of 88 | Lab model card | |
| AIME 2025 | 61.3% | #126 of 143 | Lab model card | |
| Beyond AIME | 43% | #14 of 14 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MBPP+ | 79.6% | #6 of 15 | Lab model card | |
| HumanEval+ | 88.4% | #11 of 27 | Lab model card | |
| LiveCodeBench | 48% | #31 of 54 | Lab model card | |
| SWE-bench Verified | 60.4% | #112 of 155 | Lab model card | |
| CATArena OIBench-5 | 0.15 | #4 of 5 | Official leaderboard | |
| LiveCodeBench v6 | 48% | #83 of 90 | Lab model card | |
| CATArena SWE-Perf-10 | 0.14× | #5 of 5 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| VITA-Bench | 22.8% | #9 of 18 | Official leaderboard | |
| Terminal-Bench | 39.5% | #12 of 22 | Lab model card | |
| SnakeBench | 20 | #133 of 188 | Official leaderboard | |
| tau2-bench | 67.7% | #62 of 79 | Lab model card | |
| VitaBench 2.0 | 30.2% | #15 of 17 | Official leaderboard | |
| AceBench | 76.1% | #3 of 3 | Lab model card |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveSecBench | 57.1 | #15 of 34 | Official leaderboard | |
| LongCat safety evaluation (Meituan) | 87.7% | #2 of 2 | Lab model card |
Its lab's numbers put it at 132.1, number 259 of 404
The Self-Reported Index fits one score to the 23 capability results Meituan reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 130.0 to 134.3. How we compute it.
- MATH-500 96.4
- C-Eval 90.4
- MMLU 89.7
- IFEval 89.7
- ZebraLogic 89.3
- HumanEval+ 88.4
- Arena-Hard v2.0 86.5
- CMMLU 84.3
- MMLU-Pro 82.7
- MBPP+ 79.6
- DROP 79.1
- GPQA Diamond 73.2
- AIME 2024 70.4
- tau2-bench 67.7
- AIME 2025 61.3
- SWE-bench Verified 60.4
- COLLIE 57.1
- GraphWalks 51
- LiveCodeBench 48
- LiveCodeBench v6 48
- Beyond AIME 43
- Terminal-Bench 39.5
- VITA-Bench 24.3
Its lab's numbers next to 2 leaderboards
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 1 of them isn't in the launch post.
Capabilities
- MMLU 89.7
- MMLU-Pro 82.7
- Arena-Hard v2.0 86.5
- C-Eval 90.4
- CMMLU 84.3
- IFEval 89.7
- COLLIE 57.1
- Meeseeks 43
- MATH-500 96.4
- AIME 2024 70.4
- AIME 2025 61.3
- Beyond AIME 43
- GPQA Diamond 73.2
- DROP 79.1
- ZebraLogic 89.3
- GraphWalks 51
- LiveCodeBench v6 48
- HumanEval+ 88.4
- MBPP+ 79.6
- SWE-bench Verified 60.4
- Terminal-Bench 39.5
- tau2-bench
- AceBench 76.1
- VITA-Bench 24.3