Model comparison
Longcat Flash Chat vs Qwen1.5-32B
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 30.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Longcat Flash Chat scores higher in 7 categories and Qwen1.5-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Longcat Flash Chat leads 40.6 to 13.5.
Side by side
| Longcat Flash Chat | Qwen1.5-32B | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 42.1 | 30.5 |
| Released | — | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 19 | 21 |
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Category by category
Coding Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#87), Qwen1.5-32B: 31.7 (#282)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1471 | 1155 |
| BigCodeBench Instruct | — | 32.3% |
| BigCodeBench Complete | — | 42% |
Reasoning Qwen1.5-32B leads
Longcat Flash Chat: 19.0 (#272), Qwen1.5-32B: 21.8 (#212)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1130 |
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Qwen1.5-32B: 33.0 (#207)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1442 | 1155 |
Knowledge Longcat Flash Chat leads
Longcat Flash Chat: 40.6 (#116), Qwen1.5-32B: 13.5 (#296)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Expert | 1454 | 1126 |
| GPQA Diamond | — | 30.7% |
| MMLU | — | 74.4% |
Multilingual Longcat Flash Chat leads
Longcat Flash Chat: 51.9 (#101), Qwen1.5-32B: 31.4 (#259)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1404 | 1106 |
| LMArena Chinese | 1465 | 1177 |
| LMArena French | 1456 | 1101 |
| LMArena German | 1408 | 1058 |
| LMArena Japanese | 1373 | 1027 |
| LMArena Korean | 1371 | 1008 |
| LMArena Russian | 1395 | 1073 |
| LMArena Spanish | 1445 | 1089 |
Instruction Following Longcat Flash Chat leads
Longcat Flash Chat: 74.4 (#96), Qwen1.5-32B: 57.7 (#265)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1411 | 1116 |
Long Context Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#93), Qwen1.5-32B: 34.7 (#246)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1425 | 1146 |
Writing & Preference Longcat Flash Chat leads
Longcat Flash Chat: 61.0 (#91), Qwen1.5-32B: 34.2 (#271)
| Benchmark | Longcat Flash Chat | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1427 | 1137 |
| LMArena Creative Writing | 1388 | 1083 |
| LMArena Multi-Turn | 1418 | 1140 |
Frequently asked questions
Is Longcat Flash Chat better than Qwen1.5-32B?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 30.5 on the Noometry Index.
Is Longcat Flash Chat or Qwen1.5-32B better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 31.7 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Qwen1.5-32B share?
17 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen1.5-32B has 21.