Model comparison
DeepSeek-V3.2-Speciale vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 39.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen3.7 Plus leads 64.5 to 46.1.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Qwen3.7 Plus accepts more context: 1M tokens versus 128K.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | Qwen3.7 Plus | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.1 | 45.0 |
| Released | 2025-12-01 | 2026-06-02 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.58 | $0.40 |
| Output $ / M tokens | $1.68 | $1.60 |
| Results tracked | 3 | 32 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 39.9 (#136), Qwen3.7 Plus: 36.1 (#200)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| FrontierCode | — | 10.2% |
| SciCode | — | 45.5% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1473 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.7 Plus: 21.2 (#130)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
DeepSeek-V3.2-Speciale: 32.1 (#65), Qwen3.7 Plus: 38.4 (#54)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| SimpleBench | 52.6% | — |
| NYT Connections (extended) | — | 74.8% |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| LMArena Hard Prompts | — | 1460 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 147.39 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.7 Plus: 49.3 (#47)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| LMArena Math | — | 1467 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.7 Plus: 54.9 (#46)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| LMArena Expert | — | 1467 |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.7 Plus: 41.2 (#30)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1281 |
| LMArena Document | — | 1444 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.7 Plus: 55.0 (#36)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | — | 1445 |
| LMArena Chinese | — | 1510 |
| LMArena French | — | 1471 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1416 |
| LMArena Russian | — | 1457 |
| LMArena Spanish | — | 1453 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.7 Plus: 75.9 (#49)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.7 Plus: 44.5 (#61)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | — | 1454 |
Writing & Preference Qwen3.7 Plus leads
DeepSeek-V3.2-Speciale: 46.1 (#217), Qwen3.7 Plus: 64.5 (#54)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | — | 1454 |
| LMArena Creative Writing | — | 1439 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1459 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 39.1 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Qwen3.7 Plus?
Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Qwen3.7 Plus better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 36.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Qwen3.7 Plus share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen3.7 Plus has 32.