Model comparison
Longcat Flash Chat vs Qwen3.6 27B
Longcat Flash Chat and Qwen3.6 27B score almost the same on the Noometry Index (42.1 vs 42.2), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 40.6.
Side by side
| Longcat Flash Chat | Qwen3.6 27B | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 42.1 | 42.2 |
| Released | — | 2026-04-22 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 19 | 11 |
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Category by category
Coding Longcat Flash Chat leads
Longcat Flash Chat: 43.5 (#87), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| LMArena Coding | 1471 | — |
Reasoning Qwen3.6 27B leads
Longcat Flash Chat: 19.0 (#272), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| Kagi LLM Benchmark | 43.9% | — |
| NYT Connections (extended) | 17.7% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1440 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.5 |
Math Qwen3.6 27B leads
Longcat Flash Chat: 39.4 (#107), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | 1442 | — |
Knowledge Qwen3.6 27B leads
Longcat Flash Chat: 40.6 (#116), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| LMArena Expert | 1454 | — |
Multilingual Not comparable
Longcat Flash Chat: 51.9 (#101), Qwen3.6 27B: —
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| 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), Qwen3.6 27B: —
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1411 | — |
Long Context Not comparable
Longcat Flash Chat: 43.5 (#93), Qwen3.6 27B: —
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1425 | — |
Writing & Preference Longcat Flash Chat leads
Longcat Flash Chat: 61.0 (#91), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Longcat Flash Chat | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1388 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Longcat Flash Chat better than Qwen3.6 27B?
Longcat Flash Chat and Qwen3.6 27B score almost the same on the Noometry Index (42.1 vs 42.2), so choose on price, context window or the category you care about most.
Is Longcat Flash Chat or Qwen3.6 27B better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 39.1 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Qwen3.6 27B share?
0 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3.6 27B has 11.