Model comparison
DeepSeek V4.1 Flash vs QwQ-32B
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 39.4 on the Noometry Index.
Last verified . 16 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and QwQ-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 22.9.
Side by side
| DeepSeek V4.1 Flash | QwQ-32B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 50.3 | 39.4 |
| Released | 2026-09-09 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 25 | 36 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), QwQ-32B: 34.9 (#220)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Coding | 1511 | 1333 |
| Aider Polyglot | — | 20.9% |
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 1,092 | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), QwQ-32B: 22.9 (#171)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1326 |
| Epoch Capabilities Index | 155.01 | 137.6 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| DTBench | 89.9% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), QwQ-32B: 36.2 (#123)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Math | 1493 | 1359 |
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| ProofBench | 54% | — |
| LiveBench Math | — | 77.8% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 41.6 (#97), QwQ-32B: 37.2 (#150)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Expert | 1505 | 1323 |
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), QwQ-32B: 45.0 (#171)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1452 | 1306 |
| LMArena Chinese | 1506 | 1378 |
| LMArena French | 1448 | 1337 |
| LMArena Russian | 1473 | 1297 |
| LMArena Spanish | 1499 | 1353 |
| LMArena German | — | 1313 |
| LMArena Japanese | — | 1263 |
| LMArena Korean | — | 1278 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), QwQ-32B: 72.8 (#131)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1475 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
DeepSeek V4.1 Flash: 45.2 (#46), QwQ-32B: 49.0 (#11)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1476 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), QwQ-32B: 50.9 (#175)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Text | 1465 | 1329 |
| LMArena Creative Writing | 1436 | 1288 |
| EQ-Bench Creative Writing | 1540 | 1257 |
| LMArena Multi-Turn | 1460 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is DeepSeek V4.1 Flash better than QwQ-32B?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 39.4 on the Noometry Index.
Is DeepSeek V4.1 Flash or QwQ-32B better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 34.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and QwQ-32B share?
16 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and QwQ-32B has 36.