Model comparison
DeepSeek V4.1 Flash vs Qwen3.7 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 4.8× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 3 categories and Qwen3.7 Flash in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 38.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 67.4% for DeepSeek V4.1 Flash and 19.3% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Qwen3.7 Flash | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 52.8 | 39.9 |
| Released | 2026-09-09 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | 1M | 1M |
| Max output | 393K | 131K |
| Input $ / M tokens | $0.15 | $0.03 |
| Output $ / M tokens | $0.60 | $0.13 |
| Results tracked | 37 | 7 |
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Category by category
Coding Not comparable
DeepSeek V4.1 Flash: 52.9 (#32), Qwen3.7 Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Qwen3.7 Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | 89.6% | 43.8% |
| Mystery Game Puzzles | 43% | 15% |
| Epoch Capabilities Index | 154.9 | 144.64 |
| CritPt | 14.3% | — |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1483 | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | 19.3% |
| OTIS Mock AIME 2024-2025 | 98.3% | 86.7% |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 89.8% | 82.3% |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Qwen3.7 Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Qwen3.7 Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following Not comparable
DeepSeek V4.1 Flash: 77.3 (#26), Qwen3.7 Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), Qwen3.7 Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference Not comparable
DeepSeek V4.1 Flash: 65.4 (#48), Qwen3.7 Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1457 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Qwen3.7 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 4.8× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.
Which is cheaper, DeepSeek V4.1 Flash or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do DeepSeek V4.1 Flash and Qwen3.7 Flash share?
6 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Qwen3.7 Flash has 7.