Model comparison
Longcat Flash Chat vs Qwen1.5-72B
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 30.8 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 Qwen1.5-72B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Longcat Flash Chat leads 40.6 to 11.5.
Side by side
| Longcat Flash Chat | Qwen1.5-72B | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 42.1 | 30.8 |
| Released | — | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 19 | 22 |
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Category by category
Coding Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#87), Qwen1.5-72B: 31.9 (#277)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1471 | 1165 |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Reasoning Qwen1.5-72B leads
Longcat Flash Chat: 19.0 (#272), Qwen1.5-72B: 22.2 (#203)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1148 |
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Qwen1.5-72B: 33.2 (#205)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1442 | 1164 |
Knowledge Longcat Flash Chat leads
Longcat Flash Chat: 40.6 (#116), Qwen1.5-72B: 11.5 (#300)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Expert | 1454 | 1136 |
| GPQA Diamond | — | 28.8% |
Multilingual Longcat Flash Chat leads
Longcat Flash Chat: 51.9 (#101), Qwen1.5-72B: 33.2 (#253)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1404 | 1135 |
| LMArena Chinese | 1465 | 1186 |
| LMArena French | 1456 | 1159 |
| LMArena German | 1408 | 1084 |
| LMArena Japanese | 1373 | 1061 |
| LMArena Korean | 1371 | 1050 |
| LMArena Russian | 1395 | 1104 |
| LMArena Spanish | 1445 | 1110 |
Instruction Following Longcat Flash Chat leads
Longcat Flash Chat: 74.4 (#96), Qwen1.5-72B: 59.3 (#256)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1411 | 1141 |
Long Context Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#93), Qwen1.5-72B: 35.1 (#243)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1425 | 1157 |
Writing & Preference Longcat Flash Chat leads
Longcat Flash Chat: 61.0 (#91), Qwen1.5-72B: 37.3 (#258)
| Benchmark | Longcat Flash Chat | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1427 | 1166 |
| LMArena Creative Writing | 1388 | 1137 |
| LMArena Multi-Turn | 1418 | 1160 |
Frequently asked questions
Is Longcat Flash Chat better than Qwen1.5-72B?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 30.8 on the Noometry Index.
Is Longcat Flash Chat or Qwen1.5-72B better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 31.9 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Qwen1.5-72B share?
17 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen1.5-72B has 22.