Claude Sonnet 4.5 vs DeepSeek V3.2 Exp
Updated October 21, 2026. 42 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Sonnet 4.5 for coding: it scores 59.1 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp.
Pick DeepSeek V3.2 Exp when output tokens cost 36.6x less, or when what matters is LMArena Text: medicine and healthcare or DTBench, where it leads.
- Shared results
- 42
- Claude Sonnet 4.5 only
- 50
- DeepSeek V3.2 Exp only
- 15
- Like-for-like categories
- 7 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
Claude Sonnet 4.5
Claude Sonnet 4.5 scores 59.1 against 55.0.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 20.7 against 16.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 4.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Sonnet 4.5 has a GPQA Diamond result, 81.6%.
Directional only
Math
AIME
No call
Only Claude Sonnet 4.5 has a AIME result, 88.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Sonnet 4.5 has a MMLU Pro result, 87.4%.
Directional only
Web design
Design Arena: websites
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 1190 against 1179.
Same board, both measured
Long documents
Listed context window
Claude Sonnet 4.5
Claude Sonnet 4.5 takes 1M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2 Exp
Claude Sonnet 4.5 $0.011, DeepSeek V3.2 Exp $0.0005 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 4.5 has the number, $1.16.
Directional only
At a glance
- Coding index
- Claude Sonnet 4.5 59.1 from 2 benchmarks, DeepSeek V3.2 Exp 55.0 from 2 benchmarks.
- Widest category
- Coding, 11.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: Claude Sonnet 4.5 1399 against DeepSeek V3.2 Exp 1281, 19.6 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.5 $15.00 against DeepSeek V3.2 Exp $0.41 per million output tokens, 36.6x apart.
- Context window
- Claude Sonnet 4.5 takes 1M tokens, DeepSeek V3.2 Exp 164K.
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 | Claude Sonnet 4.5 | Bars | DeepSeek V3.2 Exp | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 3 | 1 | ||
| Web design | 7 | 0 | ||
| General | 15 | 4 | ||
| All shared boards | 37 | 5 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 74.2% | Only DeepSeek V3.2 Exp measured |
| SWE-bench Verified | 74.8% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Multilingual | 67.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena WebDev | 1394 | 1272 | Claude Sonnet 4.5 |
| AA Coding Index | 52.1 | Not measured | Only Claude Sonnet 4.5 measured |
| LiveCodeBench (Vals AI) | 73.0% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Verified (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 4.5 measured |
| Vibe Code Bench (Vals AI) | 22.6% | Not measured | Only Claude Sonnet 4.5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 78.9% | Only DeepSeek V3.2 Exp measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 31.1% | Only DeepSeek V3.2 Exp measured |
| Terminal-Bench | 46.5% | Not measured | Only Claude Sonnet 4.5 measured |
| GSO-Bench | 14.7% | Not measured | Only Claude Sonnet 4.5 measured |
| WeirdML | 47.7% | 39.5% | Claude Sonnet 4.5 |
| Cybench | 60.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: coding | 1488 | 1438 | Claude Sonnet 4.5 |
| LMArena Text: software and IT | 1473 | 1438 | Claude Sonnet 4.5 |
| LMArena WebDev: React | 1386 | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena WebDev: HTML | 1399 | 1281 | Claude Sonnet 4.5 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 16.6 | Claude Sonnet 4.5 |
| Epoch Capabilities Index | 146.7 | 144.9 | Claude Sonnet 4.5 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| AA Agentic Index | 15.8 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building web apps | 1060 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building full-stack apps | 1050 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building mobile apps | 1137 | Not measured | Only Claude Sonnet 4.5 measured |
| τ²-Bench Telecom | Not measured | 33.9% | Only DeepSeek V3.2 Exp measured |
| METR time horizons | 67.4% | Not measured | Only Claude Sonnet 4.5 measured |
| Remote Labor Index | 2.1% | Not measured | Only Claude Sonnet 4.5 measured |
| GDPval | 42.5% | Not measured | Only Claude Sonnet 4.5 measured |
| DeepResearch Bench | 52.6% | Not measured | Only Claude Sonnet 4.5 measured |
| TheAgentCompany | Not measured | 42.9% | Only DeepSeek V3.2 Exp measured |
| OSWorld | 62.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Vending-Bench 2 | $3,839 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| GPQA Diamond | 81.6% | Not measured | Only Claude Sonnet 4.5 measured |
| MMMU Pro (Vals AI) | 79.3% | Not measured | Only Claude Sonnet 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 79.7% | Only DeepSeek V3.2 Exp measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 14.9% | Only DeepSeek V3.2 Exp measured |
| GPQA Diamond (Epoch AI run) | 82.3% | Not measured | Only Claude Sonnet 4.5 measured |
| ARC-AGI | 63.7% | Not measured | Only Claude Sonnet 4.5 measured |
| ARC-AGI-2 | 13.6% | Not measured | Only Claude Sonnet 4.5 measured |
| SimpleBench | 54.3% | Not measured | Only Claude Sonnet 4.5 measured |
| Chess puzzles | 10.0% | Not measured | Only Claude Sonnet 4.5 measured |
| Mystery game puzzles | 17.0% | Not measured | Only Claude Sonnet 4.5 measured |
| EBR-bench | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| VPCT | 39.8% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1429 | Claude Sonnet 4.5 |
| LMArena Text: expert | 1483 | 1422 | Claude Sonnet 4.5 |
| LMArena Text: hard prompts in English | 1471 | 1444 | Claude Sonnet 4.5 |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| AIME | 88.2% | Not measured | Only Claude Sonnet 4.5 measured |
| MGSM (Vals AI) | 94.3% | Not measured | Only Claude Sonnet 4.5 measured |
| AA Math Index | Not measured | 87.7 | Only DeepSeek V3.2 Exp measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 87.7% | Only DeepSeek V3.2 Exp measured |
| OTIS Mock AIME | 77.8% | Not measured | Only Claude Sonnet 4.5 measured |
| FrontierMath, tiers 1 to 3 | 23.9% | Not measured | Only Claude Sonnet 4.5 measured |
| FrontierMath, tier 4 | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| ProofBench | 19.0% | Not measured | Only Claude Sonnet 4.5 measured |
| MATH level 5 | 97.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: math | 1449 | 1422 | Claude Sonnet 4.5 |
| LMArena Text: mathematical work | 1462 | 1433 | Claude Sonnet 4.5 |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| MMLU Pro | 87.4% | Not measured | Only Claude Sonnet 4.5 measured |
| LegalBench (Vals AI) | 84.1% | Not measured | Only Claude Sonnet 4.5 measured |
| CaseLaw (Vals AI) | 62.2% | Not measured | Only Claude Sonnet 4.5 measured |
| CorpFin (Vals AI) | 62.0% | Not measured | Only Claude Sonnet 4.5 measured |
| TaxEval (Vals AI) | 73.3% | Not measured | Only Claude Sonnet 4.5 measured |
| MortgageTax (Vals AI) | 64.0% | Not measured | Only Claude Sonnet 4.5 measured |
| MedQA (Vals AI) | 94.7% | Not measured | Only Claude Sonnet 4.5 measured |
| MedCode (Vals AI) | 44.1% | Not measured | Only Claude Sonnet 4.5 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.0% | Only DeepSeek V3.2 Exp measured |
| SimpleQA Verified | 30.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: science | 1448 | 1443 | Claude Sonnet 4.5 |
| LMArena Text: medicine and healthcare | 1444 | 1468 | DeepSeek V3.2 Exp |
| LMArena Text: legal and government | 1451 | 1419 | Claude Sonnet 4.5 |
| LMArena Text: business and finance | 1440 | 1412 | Claude Sonnet 4.5 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| Design Arena: websites | 1190 | 1179 | Claude Sonnet 4.5 |
| Design Arena: UI components | 1173 | 1166 | Claude Sonnet 4.5 |
| Design Arena: game dev | 1166 | 1145 | Claude Sonnet 4.5 |
| Design Arena: data viz | 1167 | 1152 | Claude Sonnet 4.5 |
| Design Arena: 3D | 1158 | 1148 | Claude Sonnet 4.5 |
| Design Arena: all code categories | 1183 | 1171 | Claude Sonnet 4.5 |
| Design Arena: SVG | 1114 | 1031 | Claude Sonnet 4.5 |
| Design Arena: ASCII art | 1204 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index154
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 36.1% | Not measured | Only Claude Sonnet 4.5 measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Claude Sonnet 4.5 measured |
| IFBench | Not measured | 54.1% | Only DeepSeek V3.2 Exp measured |
| Long context reasoning (AA-LCR) | Not measured | 72.3% | Only DeepSeek V3.2 Exp measured |
| DTBench | 83.2% | 87.7% | DeepSeek V3.2 Exp |
| LMCA | 38.8% | 29.1% | Claude Sonnet 4.5 |
| Fiction.LiveBench | Not measured | 83.3% | Only DeepSeek V3.2 Exp measured |
| CL-bench | Not measured | 13.2% | Only DeepSeek V3.2 Exp measured |
| CL-bench Life | Not measured | 9.5% | Only DeepSeek V3.2 Exp measured |
| LMArena Text | 1438 | 1425 | Claude Sonnet 4.5 |
| LMArena Text: instruction following | 1459 | 1401 | Claude Sonnet 4.5 |
| LMArena Text: creative writing | 1442 | 1404 | Claude Sonnet 4.5 |
| LMArena Text: English | 1450 | 1441 | Claude Sonnet 4.5 |
| LMArena Text: non-English | 1425 | 1404 | Claude Sonnet 4.5 |
| LMArena Text: Chinese | 1460 | 1461 | DeepSeek V3.2 Exp |
| LMArena Text: German | 1427 | 1440 | DeepSeek V3.2 Exp |
| LMArena Text: Japanese | 1390 | 1331 | Claude Sonnet 4.5 |
| LMArena Text: Korean | 1402 | 1372 | Claude Sonnet 4.5 |
| LMArena Text: French | 1459 | 1434 | Claude Sonnet 4.5 |
| LMArena Text: Spanish | 1458 | 1441 | Claude Sonnet 4.5 |
| LMArena Text: Russian | 1437 | 1412 | Claude Sonnet 4.5 |
| LMArena Text: Polish | 1423 | 1435 | DeepSeek V3.2 Exp |
| LMArena Text: multi-turn | 1465 | 1422 | Claude Sonnet 4.5 |
| LMArena Text: longer queries | 1475 | 1418 | Claude Sonnet 4.5 |
| LMArena Text: writing and language | 1442 | 1407 | Claude Sonnet 4.5 |
| LMArena Text: entertainment and media | 1428 | 1407 | Claude Sonnet 4.5 |
| LMArena Document | 1450 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 4.5 | DeepSeek V3.2 Exp | 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 Exp costs less
Repository review
50K input + 3K output tokens
DeepSeek V3.2 Exp costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3.2 Exp 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 | Anthropic Claude Sonnet 4.5 | DeepSeek V3.2 Exp |
|---|---|---|
| Maker | Anthropic | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | September 29, 2025 | September 29, 2025 |
| Context window | 1M | 164K |
| Input $/Mtok | $3.00 | $0.27 |
| Output $/Mtok | $15.00 | $0.41 |
| Coding index | 59.1 | 55.0 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.16 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.5 better than DeepSeek V3.2 Exp for coding?
Pick Claude Sonnet 4.5 for coding: it scores 59.1 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp. Pick DeepSeek V3.2 Exp when output tokens cost 36.6x less, or when what matters is LMArena Text: medicine and healthcare or DTBench, where it leads.
Which is cheaper, Claude Sonnet 4.5 or DeepSeek V3.2 Exp?
Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek V3.2 Exp costs $0.27 and $0.41. Cost per solved task is known for Claude Sonnet 4.5 only.
Which has the bigger context window, Claude Sonnet 4.5 or DeepSeek V3.2 Exp?
Claude Sonnet 4.5, with 1M tokens against 164K.
How many benchmarks is the Claude Sonnet 4.5 vs DeepSeek V3.2 Exp comparison based on?
42 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.5's coding index rests on 2 independent benchmarks and DeepSeek V3.2 Exp's on 2. Where only one model has a result, the page says so instead of naming a winner.