Claude Opus 4.7 vs DeepSeek V4 Pro 0813
Updated October 21, 2026. 67 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 V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 51.1 for Claude Opus 4.7.
Pick Claude Opus 4.7 when what matters is AA Coding Index or Code migration (Vals AI), where it leads.
- Shared results
- 67
- Claude Opus 4.7 only
- 34
- DeepSeek V4 Pro 0813 only
- 11
- 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 V4 Pro 0813
DeepSeek V4 Pro 0813 scores 54.6 against 51.1.
One benchmark behind each score
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 36.0.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 41.3 against 38.6.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 92.4% against 90.2%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
Claude Opus 4.7
Claude Opus 4.7 leads, 89.9% against 87.0%.
Same board, both measured
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 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
Claude Opus 4.7 $0.018, DeepSeek V4 Pro 0813 $0.0016 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0813
Claude Opus 4.7 $2.95, DeepSeek V4 Pro 0813 $0.10.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.7 51.1 from 1 benchmark, DeepSeek V4 Pro 0813 54.6 from 1 benchmark.
- Widest category
- Coding, 6.9 points apart on average over 14 shared benchmarks.
- Widest single gap
- Mystery game puzzles: Claude Opus 4.7 28.0% against DeepSeek V4 Pro 0813 43.0%, 15.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against DeepSeek V4 Pro 0813 $1.98 per million output tokens, 12.6x apart.
- Context window
- Claude Opus 4.7 takes 1M 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 4.7 | Bars | DeepSeek V4 Pro 0813 | Ties |
|---|---|---|---|---|
| Coding | 7 | 6 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 3 | 3 | ||
| Reasoning | 6 | 5 | ||
| Math | 5 | 1 | ||
| Knowledge | 9 | 1 | ||
| General | 17 | 1 | ||
| All shared boards | 49 | 17 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index76
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| LMArena WebDev | 1558 | 1582 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 73.6 | 68.8 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | 85.1% | 87.5% | DeepSeek V4 Pro 0813 |
| SWE-bench Verified (Vals AI) | 82.0% | 96.4% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 4 (Vals AI) | Not measured | 14.1% | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench (Vals AI) | 71.0% | 82.3% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 43.9% | 41.5% | Claude Opus 4.7 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | Not measured | 51.6% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | 54.7% | Claude Opus 4.7 |
| 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 Hard (Artificial Analysis run) | 54.5% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench | 80.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierCode | 38.5% | 28.5% | Claude Opus 4.7 |
| GSO-Bench | 44.1% | Not measured | Only Claude Opus 4.7 measured |
| WeirdML | 76.4% | 66.2% | Claude Opus 4.7 |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| ALE-Bench | Not measured | 1403.2 | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: coding | 1519 | 1469 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1516 | 1462 | Claude Opus 4.7 |
| LMArena WebDev: React | 1560 | 1588 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1554 | 1566 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: from an image | 1577 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 36.0 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | 155.6 | Claude Opus 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | 41.3 | DeepSeek V4 Pro 0813 |
| SREBench (Vals AI) | Not measured | 1.9% | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 51.5% | 50.4% | Claude Opus 4.7 |
| Tax Agent Bench (Vals AI) | 23.7% | 26.8% | DeepSeek V4 Pro 0813 |
| Legal Research Bench (Vals AI) | 38.5% | 40.9% | DeepSeek V4 Pro 0813 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 10.8% | Only DeepSeek V4 Pro 0813 measured |
| Excel Modeling Benchmark (Vals AI) | 63.7% | 52.8% | Claude Opus 4.7 |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only DeepSeek V4 Pro 0813 measured |
| τ²-Bench Telecom | 88.6% | Not measured | Only Claude Opus 4.7 measured |
| APEX-Agents | 49.2% | 47.3% | Claude Opus 4.7 |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index65
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | 92.4% | DeepSeek V4 Pro 0813 |
| MMMU Pro (Vals AI) | 85.5% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 91.4% | 92.8% | DeepSeek V4 Pro 0813 |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 41.0% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | 90.2% | 91.7% | DeepSeek V4 Pro 0813 |
| ARC-AGI | 93.5% | 90.5% | Claude Opus 4.7 |
| ARC-AGI-2 | 75.8% | 61.3% | Claude Opus 4.7 |
| SimpleBench | 61.7% | Not measured | Only Claude Opus 4.7 measured |
| Chess puzzles | 41.0% | 46.0% | DeepSeek V4 Pro 0813 |
| Mystery game puzzles | 28.0% | 43.0% | DeepSeek V4 Pro 0813 |
| EBR-bench | 19.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1506 | 1458 | Claude Opus 4.7 |
| LMArena Text: expert | 1521 | 1459 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1508 | 1463 | Claude Opus 4.7 |
| LMArena Vision: diagrams | 1336 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: homework | 1337 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| OTIS Mock AIME | 97.8% | 98.6% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 70.2% | 64.6% | Claude Opus 4.7 |
| FrontierMath, tier 4 | 31.7% | 26.8% | Claude Opus 4.7 |
| ProofBench | 54.0% | 50.0% | Claude Opus 4.7 |
| LMArena Text: math | 1498 | 1441 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1509 | 1443 | Claude Opus 4.7 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | 87.0% | Claude Opus 4.7 |
| LegalBench (Vals AI) | 85.3% | 82.4% | Claude Opus 4.7 |
| CaseLaw (Vals AI) | 68.4% | Not measured | Only Claude Opus 4.7 measured |
| CorpFin (Vals AI) | 66.1% | 65.4% | Claude Opus 4.7 |
| TaxEval (Vals AI) | 75.3% | 73.1% | Claude Opus 4.7 |
| MortgageTax (Vals AI) | 70.3% | Not measured | Only Claude Opus 4.7 measured |
| MedCode (Vals AI) | 54.9% | 42.5% | Claude Opus 4.7 |
| SimpleQA Verified | 51.7% | 52.9% | DeepSeek V4 Pro 0813 |
| LMArena Text: science | 1508 | 1457 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1495 | 1446 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1504 | 1459 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1490 | 1442 | Claude Opus 4.7 |
| Neither model has a result on the other 5 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
| Benchmark | Claude Opus 4.7 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only DeepSeek V4 Pro 0813 measured |
| SAGE (Vals AI) | 56.1% | Not measured | Only Claude Opus 4.7 measured |
| MedScribe (Vals AI) | 83.0% | 80.2% | Claude Opus 4.7 |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | Not measured | Only Claude Opus 4.7 measured |
| Long context reasoning (AA-LCR) | 78.7% | 80.3% | DeepSeek V4 Pro 0813 |
| DTBench | 94.7% | 93.9% | Claude Opus 4.7 |
| LMCA | 52.2% | 45.5% | Claude Opus 4.7 |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | 1446 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1498 | 1448 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1486 | 1439 | Claude Opus 4.7 |
| LMArena Vision | 1317 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: English | 1496 | 1457 | Claude Opus 4.7 |
| LMArena Text: non-English | 1480 | 1431 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1531 | 1481 | Claude Opus 4.7 |
| LMArena Text: German | 1495 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Japanese | 1474 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: Korean | 1464 | 1449 | Claude Opus 4.7 |
| LMArena Text: French | 1503 | 1446 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1494 | 1435 | Claude Opus 4.7 |
| LMArena Text: Russian | 1494 | 1448 | Claude Opus 4.7 |
| LMArena Text: Polish | 1489 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: multi-turn | 1505 | 1454 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1505 | 1458 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1492 | 1443 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1474 | 1424 | Claude Opus 4.7 |
| LMArena Vision: English | 1322 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: Chinese | 1371 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: reading text | 1327 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: humor | 1309 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: recognizing things | 1278 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: creative writing | 1326 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Document | 1495 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | 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 4.7 | DeepSeek V4 Pro 0813 |
|---|---|---|
| Maker | Anthropic | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | April 16, 2026 | August 12, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $5.00 | $0.66 |
| Output $/Mtok | $25.00 | $1.98 |
| Coding index | 51.1 | 54.6 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $2.95 | $0.10 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than DeepSeek V4 Pro 0813 for coding?
Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 51.1 for Claude Opus 4.7. Pick Claude Opus 4.7 when what matters is AA Coding Index or Code migration (Vals AI), where it leads.
Which is cheaper, Claude Opus 4.7 or DeepSeek V4 Pro 0813?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; DeepSeek V4 Pro 0813 costs $0.66 and $1.98. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and DeepSeek V4 Pro 0813 $0.10.
Which has the bigger context window, Claude Opus 4.7 or DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813, with 1.05M tokens against 1M.
How many benchmarks is the Claude Opus 4.7 vs DeepSeek V4 Pro 0813 comparison based on?
67 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 1 independent benchmark and DeepSeek V4 Pro 0813's on 1. Where only one model has a result, the page says so instead of naming a winner.