Model comparison
Deepseek Coder v2 vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 35.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 32.3.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Qwen3.7 Flash | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 39.9 |
| Released | 2024-06-17 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.03 |
| Output $ / M tokens | — | $0.13 |
| Results tracked | 24 | 7 |
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Category by category
Coding Not comparable
Deepseek Coder v2: 38.1 (#183), Qwen3.7 Flash: —
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Qwen3.7 Flash leads
Deepseek Coder v2: 23.6 (#176), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1207 | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |
| WinoGrande | 83.7% | — |
Math Qwen3.7 Flash leads
Deepseek Coder v2: 34.9 (#190), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Qwen3.7 Flash leads
Deepseek Coder v2: 32.3 (#212), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Qwen3.7 Flash: —
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.7 (#242), Qwen3.7 Flash: —
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Qwen3.7 Flash: —
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), Qwen3.7 Flash: —
| Benchmark | Deepseek Coder v2 | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 35.9 on the Noometry Index.
How many benchmarks do Deepseek Coder v2 and Qwen3.7 Flash share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3.7 Flash has 7.