Model comparison
Longcat Flash Chat vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 42.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Longcat Flash Chat scores higher in 1 category and Qwen3.8 27B in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.8 27B leads 41.0 to 19.0.
- The biggest single-benchmark swing is NYT Connections (extended): 17.7% for Longcat Flash Chat and 54.5% for Qwen3.8 27B.
Side by side
| Longcat Flash Chat | Qwen3.8 27B | |
|---|---|---|
| Provider | Meituan | Alibaba (Qwen) |
| Noometry Index | 42.1 | 46.0 |
| Released | — | 2026-08-14 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.04 |
| Output $ / M tokens | — | $2.30 |
| Results tracked | 19 | 31 |
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Category by category
Coding Qwen3.8 27B leads
Longcat Flash Chat: 43.5 (#87), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1471 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
Agentic & Tool Use Not comparable
Longcat Flash Chat: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
Longcat Flash Chat: 19.0 (#272), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| NYT Connections (extended) | 17.7% | 54.5% |
| LMArena Hard Prompts | 1440 | 1460 |
| ARC-AGI-2 | — | 42.4% |
| Kagi LLM Benchmark | 43.9% | — |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |
Math Longcat Flash Chat leads
Longcat Flash Chat: 39.4 (#107), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1442 | 1456 |
| ProofBench | — | 16% |
Knowledge Too close to call
Longcat Flash Chat: 40.6 (#116), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1454 | 1482 |
Multimodal Not comparable
Longcat Flash Chat: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Qwen3.8 27B leads
Longcat Flash Chat: 51.9 (#101), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1404 | 1430 |
| LMArena Chinese | 1465 | 1504 |
| LMArena French | 1456 | 1465 |
| LMArena German | 1408 | 1438 |
| LMArena Japanese | 1373 | 1384 |
| LMArena Korean | 1371 | 1393 |
| LMArena Russian | 1395 | 1415 |
| LMArena Spanish | 1445 | 1448 |
Instruction Following Qwen3.8 27B leads
Longcat Flash Chat: 74.4 (#96), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1411 | 1439 |
Long Context Too close to call
Longcat Flash Chat: 43.5 (#93), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1425 | 1450 |
Writing & Preference Qwen3.8 27B leads
Longcat Flash Chat: 61.0 (#91), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Longcat Flash Chat | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1427 | 1441 |
| LMArena Creative Writing | 1388 | 1384 |
| LMArena Multi-Turn | 1418 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
Frequently asked questions
Is Longcat Flash Chat better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 42.1 on the Noometry Index.
Is Longcat Flash Chat or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 43.5 in the Noometry coding category.
How many benchmarks do Longcat Flash Chat and Qwen3.8 27B share?
18 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3.8 27B has 31.