Model comparison
DeepSeek V4.1 Flash vs Longcat Flash Chat
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
DeepSeekSummary
- They share 18 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 50.2 to 19.0.
- 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 | 52.8 | 42.1 |
| 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 | 37 | 19 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Longcat Flash Chat: 43.5 (#87)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Coding | 1506 | 1471 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Longcat Flash Chat: —
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Longcat Flash Chat: 19.0 (#272)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| NYT Connections (extended) | 89.6% | 17.7% |
| LMArena Hard Prompts | 1483 | 1440 |
| Kagi LLM Benchmark | — | 43.9% |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Longcat Flash Chat: 39.4 (#107)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Math | 1477 | 1442 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Longcat Flash Chat: 40.6 (#116)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Expert | 1506 | 1454 |
| GPQA Diamond | 89.8% | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Longcat Flash Chat: —
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Longcat Flash Chat: 51.9 (#101)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Non-English | 1448 | 1404 |
| LMArena Chinese | 1497 | 1465 |
| LMArena French | 1452 | 1456 |
| LMArena German | 1484 | 1408 |
| LMArena Japanese | 1412 | 1373 |
| LMArena Korean | 1452 | 1371 |
| LMArena Russian | 1471 | 1395 |
| LMArena Spanish | 1459 | 1445 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Longcat Flash Chat: 74.4 (#96)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Instruction Following | 1474 | 1411 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Longcat Flash Chat: 43.5 (#93)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Longer Query | 1475 | 1425 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Longcat Flash Chat: 61.0 (#91)
| Benchmark | DeepSeek V4.1 Flash | Longcat Flash Chat |
|---|---|---|
| LMArena Text | 1462 | 1427 |
| LMArena Creative Writing | 1435 | 1388 |
| LMArena Multi-Turn | 1457 | 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 52.8 to 42.1 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: 52.9 versus 43.5 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Longcat Flash Chat share?
18 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Longcat Flash Chat has 19.