Model comparison
Longcat Flash Chat vs Qwen2.5-VL 72B Instruct
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 29.4 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Longcat Flash Chat scores higher in 0 categories and Qwen2.5-VL 72B Instruct in 1 category; one gap is clear of the uncertainty.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 43.9% for Longcat Flash Chat and 36% for Qwen2.5-VL 72B Instruct.
Side by side
| Longcat Flash Chat | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 41.5 | 29.4 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $2.80 |
| Output $ / M tokens | — | $8.40 |
| Results tracked | 19 | 6 |
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Category by category
Coding Not comparable
Longcat Flash Chat: 42.9 (#85), Qwen2.5-VL 72B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Coding | 1471 | — |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, Qwen2.5-VL 72B Instruct: 18.4 (#136)
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning Qwen2.5-VL 72B Instruct leads
Longcat Flash Chat: 18.3 (#267), Qwen2.5-VL 72B Instruct: 20.0 (#228)
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | 36% |
| NYT Connections (extended) | 17.7% | — |
| LMArena Hard Prompts | 1440 | — |
Math Not comparable
Longcat Flash Chat: 36.6 (#107), Qwen2.5-VL 72B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Math | 1441 | — |
Knowledge Not comparable
Longcat Flash Chat: 40.0 (#111), Qwen2.5-VL 72B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Expert | 1454 | — |
Multimodal Not comparable
Longcat Flash Chat: —, Qwen2.5-VL 72B Instruct: 32.9 (#92)
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Longcat Flash Chat: 52.1 (#95), Qwen2.5-VL 72B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B 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-VL 72B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1411 | — |
Long Context Not comparable
Longcat Flash Chat: 43.5 (#89), Qwen2.5-VL 72B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1425 | — |
Writing & Preference Not comparable
Longcat Flash Chat: 61.2 (#88), Qwen2.5-VL 72B Instruct: —
| Benchmark | Longcat Flash Chat | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1388 | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Longcat Flash Chat better than Qwen2.5-VL 72B Instruct?
Longcat Flash Chat is the stronger model overall, scoring 41.5 to 29.4 on the Noometry Index.
How many benchmarks do Longcat Flash Chat and Qwen2.5-VL 72B Instruct share?
1 benchmark has published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.