Model comparison
DeepSeek-V3.1 vs Longcat Flash Chat
DeepSeek-V3.1 and Longcat Flash Chat score almost the same on the Noometry Index (42.2 vs 41.5), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
DeepSeekSummary
- They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 2 categories and Longcat Flash Chat in 6 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1 leads 27.3 to 18.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 53.2% for DeepSeek-V3.1 and 43.9% for Longcat Flash Chat.
Side by side
| DeepSeek-V3.1 | Longcat Flash Chat | |
|---|---|---|
| Provider | DeepSeek | Meituan |
| Noometry Index | 42.2 | 41.5 |
| Released | 2025-08-21 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.95 | — |
| Results tracked | 27 | 19 |
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Category by category
Coding Longcat Flash Chat leads
DeepSeek-V3.1: 39.8 (#140), Longcat Flash Chat: 42.9 (#85)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1417 | 1471 |
| WeirdML | 38.4% | — |
Reasoning DeepSeek-V3.1 leads
DeepSeek-V3.1: 27.3 (#109), Longcat Flash Chat: 18.3 (#267)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | 43.9% |
| LMArena Hard Prompts | 1417 | 1440 |
| SimpleBench | 40% | — |
| NYT Connections (extended) | — | 17.7% |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math Too close to call
DeepSeek-V3.1: 36.1 (#125), Longcat Flash Chat: 36.6 (#107)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1420 | 1441 |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.0 (#86), Longcat Flash Chat: 40.0 (#111)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1403 | 1454 |
| Vectara Hallucination Rate | 5.5% | — |
Multilingual Too close to call
DeepSeek-V3.1: 51.8 (#100), Longcat Flash Chat: 52.1 (#95)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1400 | 1404 |
| LMArena Chinese | 1470 | 1465 |
| LMArena French | 1447 | 1457 |
| LMArena German | 1412 | 1409 |
| LMArena Japanese | 1374 | 1373 |
| LMArena Korean | 1337 | 1372 |
| LMArena Russian | 1405 | 1396 |
| LMArena Spanish | 1429 | 1445 |
Instruction Following Too close to call
DeepSeek-V3.1: 74.1 (#105), Longcat Flash Chat: 74.6 (#92)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1400 | 1411 |
Long Context Longcat Flash Chat leads
DeepSeek-V3.1: 36.3 (#227), Longcat Flash Chat: 43.5 (#89)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1422 | 1425 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference Too close to call
DeepSeek-V3.1: 60.5 (#93), Longcat Flash Chat: 61.2 (#88)
| Benchmark | DeepSeek-V3.1 | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1420 | 1427 |
| LMArena Creative Writing | 1401 | 1388 |
| LMArena Multi-Turn | 1408 | 1418 |
| EQ-Bench Creative Writing | 1436 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than Longcat Flash Chat?
DeepSeek-V3.1 and Longcat Flash Chat score almost the same on the Noometry Index (42.2 vs 41.5), so choose on price, context window or the category you care about most.
Is DeepSeek-V3.1 or Longcat Flash Chat better for coding?
Longcat Flash Chat scores higher on coding benchmarks: 42.9 versus 39.8 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1 and Longcat Flash Chat share?
18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Longcat Flash Chat has 19.