Model comparison
DeepSeek-V3.2-Speciale vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 39.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen3.6 Plus leads 62.2 to 46.0.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $0.50 / $3 for Qwen3.6 Plus.
- Qwen3.6 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 | Qwen3.6 Plus | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 47.5 |
| Released | 2025-12-01 | 2026-03-31 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.58 | $0.50 |
| Output $ / M tokens | $1.68 | $3 |
| Results tracked | 3 | 37 |
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Category by category
Coding Too close to call
DeepSeek-V3.2-Speciale: 40.4 (#140), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| SWE-bench Verified | — | 57.9% |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1467 |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.6 Plus: —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| SimpleBench | 52.6% | — |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| LMArena Hard Prompts | — | 1449 |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
| Epoch Capabilities Index | — | 147.65 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.6 Plus: 51.8 (#54)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 38.2% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| LMArena Math | — | 1450 |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.6 Plus: 56.1 (#45)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | — | 88.4% |
| SimpleQA Verified | — | 44.1% |
| LMArena Expert | — | 1454 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.6 Plus: 53.3 (#70)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | — | 1424 |
| LMArena Chinese | — | 1477 |
| LMArena French | — | 1455 |
| LMArena German | — | 1452 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1379 |
| LMArena Russian | — | 1434 |
| LMArena Spanish | — | 1432 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.6 Plus: 75.0 (#74)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1425 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3.6 Plus: 45.2 (#49)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| CL-bench | — | 20.3% |
| LMArena Longer Query | — | 1439 |
Writing & Preference Qwen3.6 Plus leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | — | 1437 |
| LMArena Creative Writing | — | 1404 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1438 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 39.7 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Qwen3.6 Plus?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Qwen3.6 Plus lists at $0.50 and $3.
Is DeepSeek-V3.2-Speciale or Qwen3.6 Plus better for coding?
They score almost the same on coding (40.4 vs 40.8); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3.6 Plus does, with 1M tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Qwen3.6 Plus share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen3.6 Plus has 37.