Claude Opus 4.1 vs DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 36.0 to 22.8, and DeepSeek V4 Pro 0813 costs 37.9x less per output token ($1.98 vs $75.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.
Claude Opus 4.1 or DeepSeek V4 Pro 0813: which to pick
Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.
Pick Claude Opus 4.1 for work measured by LMArena Text: coding or MMLU Pro, where it leads.
- Shared results
- 44
- Claude Opus 4.1 only
- 29
- DeepSeek V4 Pro 0813 only
- 34
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
No call
Only DeepSeek V4 Pro 0813 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 36.0 against 22.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0813 has a AA Agentic Index result, 41.3.
Directional only
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 92.4% against 76.3%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.1 has a AIME result, 78.2%.
Directional only
Knowledge
MMLU Pro
Claude Opus 4.1
Claude Opus 4.1 leads, 87.9% against 87.0%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Opus 4.1 has a Design Arena: websites result, 1176.
Directional only
General
Vals Index
No call
Only DeepSeek V4 Pro 0813 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
Claude Opus 4.1 $0.052, DeepSeek V4 Pro 0813 $0.0016 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0813 has the number, $0.10.
Directional only
At a glance
- Coding index
- Claude Opus 4.1 not benchmarked, DeepSeek V4 Pro 0813 56.1 from 5 benchmarks.
- Widest category
- Math, 21.8 points apart on average over 5 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against DeepSeek V4 Pro 0813 64.6%, 51.9 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against DeepSeek V4 Pro 0813 $1.98 per million output tokens, 37.9x apart.
- Context window
- Claude Opus 4.1 takes 200K tokens, DeepSeek V4 Pro 0813 1.05M.
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 V4 Pro 0813 | Ties |
|---|---|---|---|---|
| Coding | 1 | 5 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 5 | ||
| Knowledge | 4 | 4 | ||
| General | 1 | 16 | ||
| All shared boards | 6 | 38 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| LMArena WebDev | 1390 | 1582 | DeepSeek V4 Pro 0813 |
| AA Coding Index | Not measured | 68.8 | Only DeepSeek V4 Pro 0813 measured |
| LiveCodeBench (Vals AI) | 66.5% | 87.5% | DeepSeek V4 Pro 0813 |
| SWE-bench Verified (Vals AI) | Not measured | 96.4% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 14.1% | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench (Vals AI) | Not measured | 82.3% | Only DeepSeek V4 Pro 0813 measured |
| Code migration (Vals AI) | Not measured | 41.5% | Only DeepSeek V4 Pro 0813 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only DeepSeek V4 Pro 0813 measured |
| IOI (Vals AI) | Not measured | 51.6% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 54.7% | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 17.5% | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | Not measured | 53.8% | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only DeepSeek V4 Pro 0813 measured |
| SciCode | Not measured | 51.0% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench | 38.0% | Not measured | Only Claude Opus 4.1 measured |
| FrontierCode | Not measured | 28.5% | Only DeepSeek V4 Pro 0813 measured |
| WeirdML | 45.9% | 66.2% | DeepSeek V4 Pro 0813 |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| ALE-Bench | Not measured | 1403.2 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: coding | 1479 | 1469 | Claude Opus 4.1 |
| LMArena Text: software and IT | 1456 | 1462 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: React | Not measured | 1588 | Only DeepSeek V4 Pro 0813 measured |
| LMArena WebDev: HTML | 1399 | 1566 | DeepSeek V4 Pro 0813 |
| SciCode | 4.6% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 36.0 | DeepSeek V4 Pro 0813 |
| Epoch Capabilities Index | 144.1 | 155.6 | DeepSeek V4 Pro 0813 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.3 | Only DeepSeek V4 Pro 0813 measured |
| SREBench (Vals AI) | Not measured | 1.9% | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | Not measured | 50.4% | Only DeepSeek V4 Pro 0813 measured |
| Tax Agent Bench (Vals AI) | Not measured | 26.8% | Only DeepSeek V4 Pro 0813 measured |
| Legal Research Bench (Vals AI) | Not measured | 40.9% | Only DeepSeek V4 Pro 0813 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 10.8% | Only DeepSeek V4 Pro 0813 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 52.8% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only DeepSeek V4 Pro 0813 measured |
| APEX-Agents | Not measured | 47.3% | Only DeepSeek V4 Pro 0813 measured |
| METR time horizons | 66.8% | Not measured | Only Claude Opus 4.1 measured |
| 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 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 92.4% | DeepSeek V4 Pro 0813 |
| MMMU Pro (Vals AI) | 77.5% | Not measured | Only Claude Opus 4.1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.8% | Only DeepSeek V4 Pro 0813 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 41.0% | Only DeepSeek V4 Pro 0813 measured |
| GPQA Diamond (Epoch AI run) | 77.3% | 91.7% | DeepSeek V4 Pro 0813 |
| ARC-AGI | Not measured | 90.5% | Only DeepSeek V4 Pro 0813 measured |
| ARC-AGI-2 | Not measured | 61.3% | Only DeepSeek V4 Pro 0813 measured |
| SimpleBench | 60.0% | Not measured | Only Claude Opus 4.1 measured |
| Chess puzzles | Not measured | 46.0% | Only DeepSeek V4 Pro 0813 measured |
| Mystery game puzzles | 21.0% | 43.0% | DeepSeek V4 Pro 0813 |
| 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 | 1458 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1438 | 1459 | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts in English | 1451 | 1463 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AIME | 78.2% | Not measured | Only Claude Opus 4.1 measured |
| MATH 500 (Vals AI) | 95.4% | Not measured | Only Claude Opus 4.1 measured |
| MGSM (Vals AI) | 94.4% | Not measured | Only Claude Opus 4.1 measured |
| OTIS Mock AIME | 68.9% | 98.6% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 12.6% | 64.6% | DeepSeek V4 Pro 0813 |
| FrontierMath, tier 4 | 2.4% | 26.8% | DeepSeek V4 Pro 0813 |
| ProofBench | Not measured | 50.0% | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: math | 1431 | 1441 | DeepSeek V4 Pro 0813 |
| LMArena Text: mathematical work | 1434 | 1443 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index44
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 87.0% | Claude Opus 4.1 |
| LegalBench (Vals AI) | 83.5% | 82.4% | Claude Opus 4.1 |
| CorpFin (Vals AI) | Not measured | 65.4% | Only DeepSeek V4 Pro 0813 measured |
| TaxEval (Vals AI) | 73.7% | 73.1% | Claude Opus 4.1 |
| MortgageTax (Vals AI) | 61.1% | Not measured | Only Claude Opus 4.1 measured |
| MedQA (Vals AI) | 93.6% | Not measured | Only Claude Opus 4.1 measured |
| MedCode (Vals AI) | 47.2% | 42.5% | Claude Opus 4.1 |
| SimpleQA Verified | Not measured | 52.9% | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: science | 1422 | 1457 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1416 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1421 | 1459 | DeepSeek V4 Pro 0813 |
| LMArena Text: business and finance | 1406 | 1442 | DeepSeek V4 Pro 0813 |
| FACTS Benchmark Suite | 40.4% | 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 V4 Pro 0813 | Leader |
|---|---|---|---|
| Design Arena: websites | 1176 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: UI components | 1162 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: game dev | 1171 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: data viz | 1166 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: 3D | 1152 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: all code categories | 1170 | 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 index116
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only DeepSeek V4 Pro 0813 measured |
| SAGE (Vals AI) | 31.4% | Not measured | Only Claude Opus 4.1 measured |
| MedScribe (Vals AI) | 73.9% | 80.2% | DeepSeek V4 Pro 0813 |
| Long context reasoning (AA-LCR) | Not measured | 80.3% | Only DeepSeek V4 Pro 0813 measured |
| DTBench | 80.0% | 93.9% | DeepSeek V4 Pro 0813 |
| LMCA | 37.1% | 45.5% | DeepSeek V4 Pro 0813 |
| Creative writing (Lech Mazur) | 84.7% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text | 1419 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1435 | 1448 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1412 | 1439 | DeepSeek V4 Pro 0813 |
| LMArena Text: English | 1433 | 1457 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1405 | 1431 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1427 | 1481 | DeepSeek V4 Pro 0813 |
| 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 | 1449 | DeepSeek V4 Pro 0813 |
| LMArena Text: French | 1433 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: Spanish | 1448 | 1435 | Claude Opus 4.1 |
| LMArena Text: Russian | 1422 | 1448 | DeepSeek V4 Pro 0813 |
| LMArena Text: Polish | 1413 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: multi-turn | 1444 | 1454 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1455 | 1458 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1418 | 1443 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1398 | 1424 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | DeepSeek V4 Pro 0813 | 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 V4 Pro 0813 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0813 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0813 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 V4 Pro 0813 |
|---|---|---|
| Maker | Anthropic | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | August 5, 2025 | August 12, 2026 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $15.00 | $0.66 |
| Output $/Mtok | $75.00 | $1.98 |
| Coding index | Not benchmarked | 56.1 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | $0.10 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than DeepSeek V4 Pro 0813 for coding?
Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: coding or MMLU Pro, where it leads.
Which is cheaper, Claude Opus 4.1 or DeepSeek V4 Pro 0813?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; DeepSeek V4 Pro 0813 costs $0.66 and $1.98. Cost per solved task is known for DeepSeek V4 Pro 0813 only.
Which has the bigger context window, Claude Opus 4.1 or DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813, with 1.05M tokens against 200K.
How many benchmarks is the Claude Opus 4.1 vs DeepSeek V4 Pro 0813 comparison based on?
44 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and DeepSeek V4 Pro 0813's on 5. Where only one model has a result, the page says so instead of naming a winner.