Model comparison
Longcat Flash Chat vs Qwen3.5-9B
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 33.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in coding, where Longcat Flash Chat leads 43.5 to 35.9.
Side by side
| Longcat Flash Chat | Qwen3.5-9B | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 42.1 | 33.8 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 19 | 10 |
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Category by category
Coding Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#87), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1471 | — |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Longcat Flash Chat: 19.0 (#272), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1440 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1442 | — |
Knowledge Qwen3.5-9B leads
Longcat Flash Chat: 40.6 (#116), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1454 | — |
Multilingual Not comparable
Longcat Flash Chat: 51.9 (#101), Qwen3.5-9B: —
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| 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), Qwen3.5-9B: —
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1411 | — |
Long Context Not comparable
Longcat Flash Chat: 43.5 (#93), Qwen3.5-9B: —
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1425 | — |
Writing & Preference Not comparable
Longcat Flash Chat: 61.0 (#91), Qwen3.5-9B: —
| Benchmark | Longcat Flash Chat | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1388 | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Longcat Flash Chat better than Qwen3.5-9B?
Longcat Flash Chat is the stronger model overall, scoring 42.1 to 33.8 on the Noometry Index.
Is Longcat Flash Chat or Qwen3.5-9B better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 35.9 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Qwen3.5-9B share?
0 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3.5-9B has 10.