Model comparison
Longcat Flash Chat vs Qwen2.5 32B Instruct
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Longcat Flash Chat leads 36.6 to 15.3.
Side by side
| Longcat Flash Chat | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 41.5 | 29.7 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 19 | 7 |
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Category by category
Coding Longcat Flash Chat leads
Longcat Flash Chat: 42.9 (#85), Qwen2.5 32B Instruct: 38.1 (#165)
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1471 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning Too close to call
Longcat Flash Chat: 18.3 (#267), Qwen2.5 32B Instruct: 18.5 (#262)
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1440 | — |
| Epoch Capabilities Index | — | 128.52 |
Math Longcat Flash Chat leads
Longcat Flash Chat: 36.6 (#107), Qwen2.5 32B Instruct: 15.3 (#289)
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1441 | — |
| MATH Level 5 | — | 56.1% |
Knowledge Longcat Flash Chat leads
Longcat Flash Chat: 40.0 (#111), Qwen2.5 32B Instruct: 24.9 (#259)
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1454 | — |
Multilingual Not comparable
Longcat Flash Chat: 52.1 (#95), Qwen2.5 32B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1457 | — |
| LMArena German | 1409 | — |
| LMArena Japanese | 1373 | — |
| LMArena Korean | 1372 | — |
| LMArena Russian | 1396 | — |
| LMArena Spanish | 1445 | — |
Instruction Following Not comparable
Longcat Flash Chat: 74.6 (#92), Qwen2.5 32B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1411 | — |
Long Context Not comparable
Longcat Flash Chat: 43.5 (#89), Qwen2.5 32B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1425 | — |
Writing & Preference Not comparable
Longcat Flash Chat: 61.2 (#88), Qwen2.5 32B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1388 | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Longcat Flash Chat better than Qwen2.5 32B Instruct?
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 29.7 on the Noometry Index.
Is Longcat Flash Chat or Qwen2.5 32B Instruct better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 42.9 versus 38.1 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen2.5 32B Instruct has 7.