Model comparison
Longcat Flash Chat vs Qwen2.5 7B Instruct
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Longcat Flash Chat leads 39.4 to 12.6.
Side by side
| Longcat Flash Chat | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 42.1 | 29.0 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 19 | 15 |
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Category by category
Coding Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#87), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1471 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Longcat Flash Chat leads
Longcat Flash Chat: 19.0 (#272), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1440 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1442 | — |
Knowledge Longcat Flash Chat leads
Longcat Flash Chat: 40.6 (#116), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1454 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Longcat Flash Chat: 51.9 (#101), Qwen2.5 7B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| 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 Longcat Flash Chat leads
Longcat Flash Chat: 74.4 (#96), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1411 | — |
Long Context Not comparable
Longcat Flash Chat: 43.5 (#93), Qwen2.5 7B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1425 | — |
Writing & Preference Longcat Flash Chat leads
Longcat Flash Chat: 61.0 (#91), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Longcat Flash Chat | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1388 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Longcat Flash Chat better than Qwen2.5 7B Instruct?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 29.0 on the Noometry Index.
Is Longcat Flash Chat or Qwen2.5 7B Instruct better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 36.5 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen2.5 7B Instruct has 15.