Model comparison
Longcat Flash Chat vs Mistral Large
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 31.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Longcat Flash Chat scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Longcat Flash Chat leads 39.4 to 18.2.
Side by side
| Longcat Flash Chat | Mistral Large | |
|---|---|---|
| Provider | Meituan | Mistral AI |
| Noometry Index | 42.1 | 31.9 |
| Released | — | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 19 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#87), Mistral Large: 34.3 (#240)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Coding | 1471 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, Mistral Large: 28.6 (#89)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Longcat Flash Chat leads
Longcat Flash Chat: 19.0 (#272), Mistral Large: 15.8 (#310)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1257 |
| SimpleBench | — | 22.5% |
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Mistral Large: 18.2 (#291)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Math | 1442 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Longcat Flash Chat leads
Longcat Flash Chat: 40.6 (#116), Mistral Large: 30.1 (#230)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Expert | 1454 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multilingual Longcat Flash Chat leads
Longcat Flash Chat: 51.9 (#101), Mistral Large: 40.0 (#219)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Non-English | 1404 | 1237 |
| LMArena Chinese | 1465 | 1240 |
| LMArena French | 1456 | 1325 |
| LMArena German | 1408 | 1254 |
| LMArena Japanese | 1373 | 1188 |
| LMArena Korean | 1371 | 1202 |
| LMArena Russian | 1395 | 1257 |
| LMArena Spanish | 1445 | 1268 |
Instruction Following Longcat Flash Chat leads
Longcat Flash Chat: 74.4 (#96), Mistral Large: 67.9 (#191)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1411 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#93), Mistral Large: 38.3 (#199)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1425 | 1261 |
Writing & Preference Longcat Flash Chat leads
Longcat Flash Chat: 61.0 (#91), Mistral Large: 40.7 (#242)
| Benchmark | Longcat Flash Chat | Mistral Large |
|---|---|---|
| LMArena Text | 1427 | 1266 |
| LMArena Creative Writing | 1388 | 1243 |
| LMArena Multi-Turn | 1418 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Longcat Flash Chat better than Mistral Large?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 31.9 on the Noometry Index.
Is Longcat Flash Chat or Mistral Large better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 34.3 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Mistral Large share?
17 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Mistral Large has 51.