DeepSeek V3.2 vs Qwen3.6 Plus
Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick DeepSeek V3.2 for coding: it scores 54.4 on the Vibe Coding Index against 37.4 for Qwen3.6 Plus.
Pick Qwen3.6 Plus when the context window is larger, 1M against 164K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 62
- DeepSeek V3.2 only
- 13
- Qwen3.6 Plus only
- 21
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
DeepSeek V3.2
DeepSeek V3.2 scores 54.4 against 37.4.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.6 Plus
Qwen3.6 Plus leads, 27.0 against 21.5.
Same board, both measured
Reasoning
GPQA Diamond
Qwen3.6 Plus
Qwen3.6 Plus leads, 87.4% against 80.3%.
Same board, both measured
Math
AIME
Qwen3.6 Plus
Qwen3.6 Plus leads, 94.6% against 84.6%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.6 Plus
Qwen3.6 Plus leads, 87.7% against 84.9%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.6 Plus
Qwen3.6 Plus leads, 1243 against 1175.
Same board, both measured
Long documents
Listed context window
Qwen3.6 Plus
Qwen3.6 Plus takes 1M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2
DeepSeek V3.2 $0.0005, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V3.2
DeepSeek V3.2 $0.99, Qwen3.6 Plus $1.19.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V3.2 54.4 from 2 benchmarks, Qwen3.6 Plus 37.4 from 1 benchmark.
- Widest category
- Agentic work, 16.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- Vending-Bench 2: DeepSeek V3.2 $1,034 against Qwen3.6 Plus $5,115, 25.5 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.2 $0.42 against Qwen3.6 Plus $1.95 per million output tokens, 4.6x apart.
- Context window
- DeepSeek V3.2 takes 164K tokens, Qwen3.6 Plus 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | DeepSeek V3.2 | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 10 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 3 | ||
| Knowledge | 2 | 7 | ||
| Web design | 0 | 8 | ||
| General | 1 | 21 | ||
| All shared boards | 3 | 59 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index010
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SWE-bench Verified | 70.0% | Not measured | Only DeepSeek V3.2 measured |
| SWE-bench Multilingual | 59.0% | Not measured | Only DeepSeek V3.2 measured |
| LMArena WebDev | 1362 | 1461 | Qwen3.6 Plus |
| AA Coding Index | 44.2 | 54.5 | Qwen3.6 Plus |
| LiveCodeBench (Vals AI) | 80.7% | 86.0% | Qwen3.6 Plus |
| SWE-bench Verified (Vals AI) | 67.6% | 73.4% | Qwen3.6 Plus |
| Vibe Code Bench (Vals AI) | 5.1% | 25.6% | Qwen3.6 Plus |
| Code migration (Vals AI) | Not measured | 11.1% | Only Qwen3.6 Plus measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.6 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.2% | Only Qwen3.6 Plus measured |
| LiveCodeBench (Artificial Analysis run) | 86.2% | Not measured | Only DeepSeek V3.2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 35.6% | 43.9% | Qwen3.6 Plus |
| Terminal-Bench | 39.6% | Not measured | Only DeepSeek V3.2 measured |
| ALE-Bench | Not measured | 670.1 | Only Qwen3.6 Plus measured |
| LMArena Text: coding | 1453 | 1467 | Qwen3.6 Plus |
| LMArena Text: software and IT | 1449 | 1462 | Qwen3.6 Plus |
| LMArena WebDev: React | 1350 | 1454 | Qwen3.6 Plus |
| LMArena WebDev: HTML | 1371 | 1463 | Qwen3.6 Plus |
| LMArena WebDev: from an image | Not measured | 1472 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.5 | 27.0 | Qwen3.6 Plus |
| Epoch Capabilities Index | 146.1 | 147.3 | Qwen3.6 Plus |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Finance Agent (Vals AI) | Not measured | 40.9% | Only Qwen3.6 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.7% | Only Qwen3.6 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 14.9% | Only Qwen3.6 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 32.9% | Only Qwen3.6 Plus measured |
| τ²-Bench Telecom | 90.6% | 97.7% | Qwen3.6 Plus |
| APEX-Agents | 21.3% | Not measured | Only DeepSeek V3.2 measured |
| Vending-Bench 2 | $1,034 | $5,115 | Qwen3.6 Plus |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 80.3% | 87.4% | Qwen3.6 Plus |
| MMMU Pro (Vals AI) | Not measured | 84.2% | Only Qwen3.6 Plus measured |
| GPQA Diamond (Artificial Analysis run) | 84.0% | 88.2% | Qwen3.6 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 24.6% | 27.8% | Qwen3.6 Plus |
| GPQA Diamond (Epoch AI run) | Not measured | 88.4% | Only Qwen3.6 Plus measured |
| ARC-AGI | 57.0% | Not measured | Only DeepSeek V3.2 measured |
| ARC-AGI-2 | 4.0% | Not measured | Only DeepSeek V3.2 measured |
| Chess puzzles | Not measured | 14.0% | Only Qwen3.6 Plus measured |
| Mystery game puzzles | Not measured | 12.0% | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts | 1434 | 1448 | Qwen3.6 Plus |
| LMArena Text: expert | 1436 | 1454 | Qwen3.6 Plus |
| LMArena Text: hard prompts in English | 1446 | 1455 | Qwen3.6 Plus |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | 84.6% | 94.6% | Qwen3.6 Plus |
| MGSM (Vals AI) | 86.0% | Not measured | Only DeepSeek V3.2 measured |
| AA Math Index | 92.0 | Not measured | Only DeepSeek V3.2 measured |
| AIME 2025 (Artificial Analysis run) | 92.0% | Not measured | Only DeepSeek V3.2 measured |
| OTIS Mock AIME | Not measured | 93.3% | Only Qwen3.6 Plus measured |
| FrontierMath, tiers 1 to 3 | Not measured | 38.2% | Only Qwen3.6 Plus measured |
| LMArena Text: math | 1435 | 1449 | Qwen3.6 Plus |
| LMArena Text: mathematical work | 1440 | 1448 | Qwen3.6 Plus |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index27
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 84.9% | 87.7% | Qwen3.6 Plus |
| LegalBench (Vals AI) | 76.1% | 84.2% | Qwen3.6 Plus |
| CaseLaw (Vals AI) | 55.4% | 51.5% | DeepSeek V3.2 |
| CorpFin (Vals AI) | 51.0% | 61.9% | Qwen3.6 Plus |
| TaxEval (Vals AI) | 68.2% | 74.7% | Qwen3.6 Plus |
| MortgageTax (Vals AI) | Not measured | 68.0% | Only Qwen3.6 Plus measured |
| MedQA (Vals AI) | 93.9% | Not measured | Only DeepSeek V3.2 measured |
| MedCode (Vals AI) | Not measured | 36.9% | Only Qwen3.6 Plus measured |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only DeepSeek V3.2 measured |
| SimpleQA Verified | Not measured | 44.1% | Only Qwen3.6 Plus measured |
| LMArena Text: science | 1446 | 1439 | DeepSeek V3.2 |
| LMArena Text: medicine and healthcare | 1440 | 1442 | Qwen3.6 Plus |
| LMArena Text: legal and government | 1425 | 1437 | Qwen3.6 Plus |
| LMArena Text: business and finance | 1410 | 1430 | Qwen3.6 Plus |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1175 | 1243 | Qwen3.6 Plus |
| Design Arena: UI components | 1149 | 1233 | Qwen3.6 Plus |
| Design Arena: game dev | 1132 | 1211 | Qwen3.6 Plus |
| Design Arena: data viz | 1158 | 1228 | Qwen3.6 Plus |
| Design Arena: 3D | 1133 | 1202 | Qwen3.6 Plus |
| Design Arena: all code categories | 1164 | 1236 | Qwen3.6 Plus |
| Design Arena: SVG | 1032 | 1160 | Qwen3.6 Plus |
| Design Arena: ASCII art | 1082 | 1115 | Qwen3.6 Plus |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 44.9% | Only Qwen3.6 Plus measured |
| MedScribe (Vals AI) | Not measured | 77.0% | Only Qwen3.6 Plus measured |
| Vals Multimodal Index | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| IFBench | 60.7% | 75.2% | Qwen3.6 Plus |
| Long context reasoning (AA-LCR) | 73.3% | 78.3% | Qwen3.6 Plus |
| DTBench | 85.6% | 81.9% | DeepSeek V3.2 |
| LMCA | 28.8% | 33.1% | Qwen3.6 Plus |
| CL-bench | 12.4% | 20.3% | Qwen3.6 Plus |
| CL-bench Life | 7.4% | Not measured | Only DeepSeek V3.2 measured |
| LMArena Text | 1425 | 1436 | Qwen3.6 Plus |
| LMArena Text: instruction following | 1413 | 1424 | Qwen3.6 Plus |
| LMArena Text: creative writing | 1400 | 1404 | Qwen3.6 Plus |
| LMArena Text: English | 1439 | 1445 | Qwen3.6 Plus |
| LMArena Text: non-English | 1409 | 1424 | Qwen3.6 Plus |
| LMArena Text: Chinese | 1455 | 1477 | Qwen3.6 Plus |
| LMArena Text: German | 1413 | 1451 | Qwen3.6 Plus |
| LMArena Text: Japanese | 1374 | 1390 | Qwen3.6 Plus |
| LMArena Text: Korean | 1370 | 1379 | Qwen3.6 Plus |
| LMArena Text: French | 1429 | 1455 | Qwen3.6 Plus |
| LMArena Text: Spanish | 1424 | 1432 | Qwen3.6 Plus |
| LMArena Text: Russian | 1424 | 1434 | Qwen3.6 Plus |
| LMArena Text: Polish | 1419 | 1433 | Qwen3.6 Plus |
| LMArena Text: multi-turn | 1427 | 1438 | Qwen3.6 Plus |
| LMArena Text: longer queries | 1428 | 1439 | Qwen3.6 Plus |
| LMArena Text: writing and language | 1407 | 1418 | Qwen3.6 Plus |
| LMArena Text: entertainment and media | 1395 | 1402 | Qwen3.6 Plus |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3.2 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
DeepSeek V3.2 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3.2 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3.2 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | DeepSeek V3.2 | Qwen3.6 Plus |
|---|---|---|
| Maker | DeepSeek | Qwen |
| Weights | Open weights | No public weights listed |
| Released | December 1, 2025 | April 2, 2026 |
| Context window | 164K | 1M |
| Input $/Mtok | $0.28 | $0.325 |
| Output $/Mtok | $0.42 | $1.95 |
| Coding index | 54.4 | 37.4 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.99 | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V3.2 better than Qwen3.6 Plus for coding?
Pick DeepSeek V3.2 for coding: it scores 54.4 on the Vibe Coding Index against 37.4 for Qwen3.6 Plus. Pick Qwen3.6 Plus when the context window is larger, 1M against 164K tokens, or when what matters is LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, DeepSeek V3.2 or Qwen3.6 Plus?
DeepSeek V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, DeepSeek V3.2 costs $0.99 and Qwen3.6 Plus $1.19.
Which has the bigger context window, DeepSeek V3.2 or Qwen3.6 Plus?
Qwen3.6 Plus, with 1M tokens against 164K.
How many benchmarks is the DeepSeek V3.2 vs Qwen3.6 Plus comparison based on?
62 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2's coding index rests on 2 independent benchmarks and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.