Model comparison
Longcat Flash Chat vs Mistral Nemo
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 26.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where Longcat Flash Chat leads 61.0 to 28.5.
Side by side
| Longcat Flash Chat | Mistral Nemo | |
|---|---|---|
| Provider | Meituan | Mistral AI |
| Noometry Index | 42.1 | 26.4 |
| Released | — | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 19 | 10 |
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Category by category
Coding Not comparable
Longcat Flash Chat: 43.5 (#87), Mistral Nemo: —
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1471 | — |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, Mistral Nemo: 23.5 (#125)
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Longcat Flash Chat: 19.0 (#272), Mistral Nemo: 20.7 (#232)
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
| LMArena Hard Prompts | 1440 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Mistral Nemo: 25.5 (#268)
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| LMArena Math | 1442 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Longcat Flash Chat leads
Longcat Flash Chat: 40.6 (#116), Mistral Nemo: 12.3 (#298)
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1454 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
Longcat Flash Chat: 51.9 (#101), Mistral Nemo: —
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1456 | — |
| LMArena German | 1408 | — |
| LMArena Japanese | 1373 | — |
| LMArena Korean | 1371 | — |
| LMArena Russian | 1395 | — |
| LMArena Spanish | 1445 | — |
Instruction Following Not comparable
Longcat Flash Chat: 74.4 (#96), Mistral Nemo: —
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1411 | — |
Long Context Not comparable
Longcat Flash Chat: 43.5 (#93), Mistral Nemo: —
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1425 | — |
Writing & Preference Longcat Flash Chat leads
Longcat Flash Chat: 61.0 (#91), Mistral Nemo: 28.5 (#296)
| Benchmark | Longcat Flash Chat | Mistral Nemo |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1388 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Longcat Flash Chat better than Mistral Nemo?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 26.4 on the Noometry Index.
How many benchmarks do Longcat Flash Chat and Mistral Nemo share?
0 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Mistral Nemo has 10.