Model comparison
DeepSeek V4.1 Flash vs Longcat Flash Chat
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 41.5 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Longcat Flash Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 18.3.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 17.7% for Longcat Flash Chat.
Side by side
| DeepSeek V4.1 Flash | Longcat Flash Chat | |
|---|---|---|
| Provider | DeepSeek | Meituan |
| Noometry Index | 50.3 | 41.5 |
| Released | 2026-09-09 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 25 | 19 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), Longcat Flash Chat: 42.9 (#85)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1511 | 1471 |
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), Longcat Flash Chat: 18.3 (#267)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| NYT Connections (extended) | 89.6% | 17.7% |
| LMArena Hard Prompts | 1485 | 1440 |
| Kagi LLM Benchmark | — | 43.9% |
| CritPt | 14.3% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 155.01 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), Longcat Flash Chat: 36.6 (#107)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1493 | 1441 |
| ProofBench | 54% | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 41.6 (#97), Longcat Flash Chat: 40.0 (#111)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1505 | 1454 |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), Longcat Flash Chat: 52.1 (#95)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1452 | 1404 |
| LMArena Chinese | 1506 | 1465 |
| LMArena French | 1448 | 1457 |
| LMArena Russian | 1473 | 1396 |
| LMArena Spanish | 1499 | 1445 |
| LMArena German | — | 1409 |
| LMArena Japanese | — | 1373 |
| LMArena Korean | — | 1372 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), Longcat Flash Chat: 74.6 (#92)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1475 | 1411 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#46), Longcat Flash Chat: 43.5 (#89)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1476 | 1425 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), Longcat Flash Chat: 61.2 (#88)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1465 | 1427 |
| LMArena Creative Writing | 1436 | 1388 |
| LMArena Multi-Turn | 1460 | 1418 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Longcat Flash Chat?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 41.5 on the Noometry Index.
Is DeepSeek V4.1 Flash or Longcat Flash Chat better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 42.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Longcat Flash Chat share?
15 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Longcat Flash Chat has 19.