Claude Opus 4.1 vs DeepSeek V3 0324
Updated October 21, 2026. 18 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 0324 for coding: it scores 42.0 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.
Pick Claude Opus 4.1 when the context window is larger, 200K against 164K tokens, or when what matters is LiveCodeBench (Vals AI) or WeirdML, where it leads.
- Shared results
- 18
- Claude Opus 4.1 only
- 53
- DeepSeek V3 0324 only
- 17
- 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
DeepSeek V3 0324
DeepSeek V3 0324 scores 42.0 against 27.2.
One benchmark behind each score
Intelligence
AA Intelligence Index
Claude Opus 4.1
Claude Opus 4.1 leads, 22.8 against 9.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V3 0324 has a AA Agentic Index result, 0.8.
Directional only
Reasoning
GPQA Diamond
Claude Opus 4.1
Claude Opus 4.1 leads, 76.3% against 61.6%.
Same board, both measured
Math
AIME
Claude Opus 4.1
Claude Opus 4.1 leads, 78.2% against 52.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.1
Claude Opus 4.1 leads, 87.9% against 79.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Opus 4.1 has a Design Arena: websites result, 1177.
Directional only
Long documents
Listed context window
Claude Opus 4.1
Claude Opus 4.1 takes 200K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3 0324
Claude Opus 4.1 $0.052, DeepSeek V3 0324 $0.0009 per turn.
List prices
At a glance
- Coding index
- Claude Opus 4.1 27.2 from 1 benchmark, DeepSeek V3 0324 42.0 from 1 benchmark.
- Widest category
- Reasoning, 19.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- SimpleBench: Claude Opus 4.1 60.0% against DeepSeek V3 0324 27.2%, 32.8 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against DeepSeek V3 0324 $1.14 per million output tokens, 65.8x apart.
- Context window
- Claude Opus 4.1 takes 200K tokens, DeepSeek V3 0324 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 Opus 4.1 | Bars | DeepSeek V3 0324 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 3 | 0 | ||
| All shared boards | 18 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index20
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 42.0% | Only DeepSeek V3 0324 measured |
| LMArena WebDev | 1390 | Not measured | Only Claude Opus 4.1 measured |
| AA Coding Index | Not measured | 21.2 | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Vals AI) | 66.5% | 65.5% | Claude Opus 4.1 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 40.5% | Only DeepSeek V3 0324 measured |
| SciCode | Not measured | 39.0% | Only DeepSeek V3 0324 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 15.2% | Only DeepSeek V3 0324 measured |
| Terminal-Bench | 38.0% | Not measured | Only Claude Opus 4.1 measured |
| WeirdML | 45.9% | 36.1% | Claude Opus 4.1 |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: coding | 1479 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: software and IT | 1456 | Not measured | Only Claude Opus 4.1 measured |
| LMArena WebDev: HTML | 1399 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 9.7 | Claude Opus 4.1 |
| Epoch Capabilities Index | 144.1 | Not measured | Only Claude Opus 4.1 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.8 | Only DeepSeek V3 0324 measured |
| τ²-Bench Telecom | Not measured | 47.1% | Only DeepSeek V3 0324 measured |
| METR time horizons | 66.8% | 49.6% | Claude Opus 4.1 |
| GDPval | 43.6% | Not measured | Only Claude Opus 4.1 measured |
| DeepResearch Bench | 48.3% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 61.6% | Claude Opus 4.1 |
| MMMU Pro (Vals AI) | 77.5% | Not measured | Only Claude Opus 4.1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 65.5% | Only DeepSeek V3 0324 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 4.7% | Only DeepSeek V3 0324 measured |
| GPQA Diamond (Epoch AI run) | 77.3% | 67.6% | Claude Opus 4.1 |
| SimpleBench | 60.0% | 27.2% | Claude Opus 4.1 |
| Mystery game puzzles | 21.0% | Not measured | Only Claude Opus 4.1 measured |
| EBR-bench | 7.9% | Not measured | Only Claude Opus 4.1 measured |
| VPCT | 35.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: hard prompts | 1442 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: expert | 1438 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: hard prompts in English | 1451 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| AIME | 78.2% | 52.2% | Claude Opus 4.1 |
| MATH 500 (Vals AI) | 95.4% | 88.6% | Claude Opus 4.1 |
| MGSM (Vals AI) | 94.4% | 91.7% | Claude Opus 4.1 |
| AA Math Index | Not measured | 41.0 | Only DeepSeek V3 0324 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 41.0% | Only DeepSeek V3 0324 measured |
| OTIS Mock AIME | 68.9% | 37.8% | Claude Opus 4.1 |
| FrontierMath, tiers 1 to 3 | 12.6% | Not measured | Only Claude Opus 4.1 measured |
| FrontierMath, tier 4 | 2.4% | Not measured | Only Claude Opus 4.1 measured |
| MATH level 5 | Not measured | 75.5% | Only DeepSeek V3 0324 measured |
| LMArena Text: math | 1431 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: mathematical work | 1434 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 79.5% | Claude Opus 4.1 |
| LegalBench (Vals AI) | 83.5% | 77.7% | Claude Opus 4.1 |
| CorpFin (Vals AI) | Not measured | 54.7% | Only DeepSeek V3 0324 measured |
| TaxEval (Vals AI) | 73.7% | 71.1% | Claude Opus 4.1 |
| MortgageTax (Vals AI) | 61.1% | Not measured | Only Claude Opus 4.1 measured |
| MedQA (Vals AI) | 93.6% | 82.0% | Claude Opus 4.1 |
| MedCode (Vals AI) | 47.2% | Not measured | Only Claude Opus 4.1 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 81.9% | Only DeepSeek V3 0324 measured |
| LMArena Text: science | 1422 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: medicine and healthcare | 1416 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: legal and government | 1421 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: business and finance | 1406 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| Design Arena: websites | 1177 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: UI components | 1164 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: game dev | 1172 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: data viz | 1166 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: 3D | 1153 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: all code categories | 1171 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: SVG | 1152 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: ASCII art | 1167 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 31.4% | Not measured | Only Claude Opus 4.1 measured |
| MedScribe (Vals AI) | 73.9% | Not measured | Only Claude Opus 4.1 measured |
| IFBench | Not measured | 41.0% | Only DeepSeek V3 0324 measured |
| Long context reasoning (AA-LCR) | Not measured | 40.7% | Only DeepSeek V3 0324 measured |
| DTBench | 80.0% | 64.8% | Claude Opus 4.1 |
| LMCA | 37.1% | 15.5% | Claude Opus 4.1 |
| Fiction.LiveBench | Not measured | 50.0% | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | 84.7% | 77.0% | Claude Opus 4.1 |
| LMArena Text | 1419 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: instruction following | 1435 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: creative writing | 1412 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: English | 1433 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: non-English | 1405 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Chinese | 1427 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: German | 1413 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Japanese | 1377 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Korean | 1381 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: French | 1433 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Spanish | 1448 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Russian | 1422 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Polish | 1413 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: multi-turn | 1444 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: longer queries | 1455 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: writing and language | 1418 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: entertainment and media | 1398 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | DeepSeek V3 0324 | 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 0324 costs less
Repository review
50K input + 3K output tokens
DeepSeek V3 0324 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3 0324 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 Opus 4.1 | DeepSeek V3 0324 |
|---|---|---|
| Maker | Anthropic | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | August 5, 2025 | March 24, 2025 |
| Context window | 200K | 164K |
| Input $/Mtok | $15.00 | $0.29 |
| Output $/Mtok | $75.00 | $1.14 |
| Coding index | 27.2 | 42.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than DeepSeek V3 0324 for coding?
Pick DeepSeek V3 0324 for coding: it scores 42.0 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when the context window is larger, 200K against 164K tokens, or when what matters is LiveCodeBench (Vals AI) or WeirdML, where it leads.
Which is cheaper, Claude Opus 4.1 or DeepSeek V3 0324?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; DeepSeek V3 0324 costs $0.29 and $1.14. Cost per solved task is known for neither of them.
Which has the bigger context window, Claude Opus 4.1 or DeepSeek V3 0324?
Claude Opus 4.1, with 200K tokens against 164K.
How many benchmarks is the Claude Opus 4.1 vs DeepSeek V3 0324 comparison based on?
18 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and DeepSeek V3 0324's on 1. Where only one model has a result, the page says so instead of naming a winner.