Model comparison
Longcat Flash Chat vs Qwen3-4B
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 31.9 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 29.7.
Side by side
| Longcat Flash Chat | Qwen3-4B | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 42.1 | 31.9 |
| Released | — | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 19 | 6 |
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Category by category
Coding Not comparable
Longcat Flash Chat: 43.5 (#87), Qwen3-4B: —
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| LMArena Coding | 1471 | — |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, Qwen3-4B: 27.6 (#100)
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning Too close to call
Longcat Flash Chat: 19.0 (#272), Qwen3-4B: 19.2 (#268)
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1440 | — |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Qwen3-4B: 29.7 (#240)
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1442 | — |
Knowledge Longcat Flash Chat leads
Longcat Flash Chat: 40.6 (#116), Qwen3-4B: 33.0 (#208)
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1454 | — |
Multilingual Not comparable
Longcat Flash Chat: 51.9 (#101), Qwen3-4B: —
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| 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 Not comparable
Longcat Flash Chat: 74.4 (#96), Qwen3-4B: —
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1411 | — |
Long Context Not comparable
Longcat Flash Chat: 43.5 (#93), Qwen3-4B: —
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1425 | — |
Writing & Preference Not comparable
Longcat Flash Chat: 61.0 (#91), Qwen3-4B: —
| Benchmark | Longcat Flash Chat | Qwen3-4B |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1388 | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Longcat Flash Chat better than Qwen3-4B?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 31.9 on the Noometry Index.
How many benchmarks do Longcat Flash Chat and Qwen3-4B share?
0 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3-4B has 6.