Model comparison
DeepSeek V4 Flash vs Qwen3.7 Plus
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 45.3 on the Noometry Index.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 4 categories and Qwen3.7 Plus in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 39.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 57.5% for DeepSeek V4 Flash and 34.4% for Qwen3.7 Plus.
- DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | Qwen3.7 Plus | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 53.6 | 45.3 |
| Released | 2026-04-24 | 2026-06-02 |
| Weights | Open | Proprietary |
| Context window | 1M | 1M |
| Max output | 393K | 131K |
| Input $ / M tokens | $0.15 | $0.40 |
| Output $ / M tokens | $0.60 | $1.60 |
| Results tracked | 41 | 32 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| FrontierCode | 18.8% | 10.2% |
| SciCode | 49.9% | 45.5% |
| LMArena Coding | 1457 | 1473 |
| LMArena WebDev | 1582 | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Flash: —, Qwen3.7 Plus: 21.4 (#138)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| NYT Connections (extended) | 89.6% | 74.8% |
| CritPt | 16.6% | 9.1% |
| Chess Puzzles | 33% | 24% |
| LMArena Hard Prompts | 1444 | 1460 |
| Mystery Game Puzzles | 34% | 17% |
| DTBench | 90.9% | 84% |
| LMCA | 41.7% | 37.6% |
| Epoch Capabilities Index | 154.49 | 147.37 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| ARC-AGI-1 | 89% | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.5% | 34.4% |
| OTIS Mock AIME 2024-2025 | 94.4% | 93.3% |
| LMArena Math | 1427 | 1466 |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
Knowledge Too close to call
DeepSeek V4 Flash: 55.4 (#48), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 91% | 87.9% |
| LMArena Expert | 1441 | 1467 |
| SimpleQA Verified | 33.6% | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
DeepSeek V4 Flash: 53.0 (#72), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1420 | 1445 |
| LMArena Chinese | 1468 | 1510 |
| LMArena French | 1439 | 1473 |
| LMArena German | 1418 | 1471 |
| LMArena Japanese | 1406 | 1413 |
| LMArena Korean | 1384 | 1415 |
| LMArena Russian | 1428 | 1457 |
| LMArena Spanish | 1436 | 1457 |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1421 | 1440 |
Long Context Too close to call
DeepSeek V4 Flash: 43.8 (#85), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1434 | 1455 |
Writing & Preference Too close to call
DeepSeek V4 Flash: 63.8 (#61), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | DeepSeek V4 Flash | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1432 | 1455 |
| LMArena Creative Writing | 1403 | 1439 |
| LMArena Multi-Turn | 1449 | 1460 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Qwen3.7 Plus?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 45.3 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or Qwen3.7 Plus?
DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.
Is DeepSeek V4 Flash or Qwen3.7 Plus better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do DeepSeek V4 Flash and Qwen3.7 Plus share?
29 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Qwen3.7 Plus has 32.