Claude Opus 4.1 vs o3
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 o3 for coding: it scores 70.7 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.
Pick Claude Opus 4.1 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 62
- Claude Opus 4.1 only
- 9
- o3 only
- 35
- 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
o3
o3 scores 70.7 against 27.2.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Opus 4.1
Claude Opus 4.1 leads, 22.8 against 20.2.
Same board, both measured
Reasoning
GPQA Diamond
o3
o3 leads, 84.1% against 76.3%.
Same board, both measured
Math
AIME
o3
o3 leads, 85.3% against 78.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.1
Claude Opus 4.1 leads, 87.9% against 85.6%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 4.1
Claude Opus 4.1 leads, 1177 against 1036.
Same board, both measured
Long documents
Listed context window
No call
Both take 200K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
o3
Claude Opus 4.1 $0.052, o3 $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only o3 has the number, $0.571.
Directional only
At a glance
- Coding index
- Claude Opus 4.1 27.2 from 1 benchmark, o3 70.7 from 2 benchmarks.
- Widest category
- Web design, 15.3 points apart on average over 5 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against o3 33.3%, 20.7 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against o3 $8.00 per million output tokens, 9.4x apart.
- Context window
- Both take 200K tokens.
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 | o3 | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 4 | 5 | ||
| Math | 4 | 3 | ||
| Knowledge | 2 | 8 | ||
| Web design | 4 | 1 | ||
| General | 14 | 8 | ||
| All shared boards | 34 | 28 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index22
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 81.3% | Only o3 measured |
| SWE-bench Verified | Not measured | 58.4% | Only o3 measured |
| SWE-bench Multimodal | Not measured | 36.0% | Only o3 measured |
| LMArena WebDev | 1390 | Not measured | Only Claude Opus 4.1 measured |
| LiveCodeBench (Vals AI) | 66.5% | 83.9% | o3 |
| LiveCodeBench (Artificial Analysis run) | Not measured | 80.8% | Only o3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 37.1% | Only o3 measured |
| Terminal-Bench | 38.0% | Not measured | Only Claude Opus 4.1 measured |
| GSO-Bench | Not measured | 8.8% | Only o3 measured |
| WeirdML | 45.9% | 52.4% | o3 |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| ALE-Bench | Not measured | 933.5 | Only o3 measured |
| LMArena Text: coding | 1479 | 1407 | Claude Opus 4.1 |
| LMArena Text: software and IT | 1456 | 1415 | Claude Opus 4.1 |
| LMArena WebDev: HTML | 1399 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 20.2 | Claude Opus 4.1 |
| Epoch Capabilities Index | 144.1 | 146.7 | o3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 80.7% | Only o3 measured |
| METR time horizons | 66.8% | 65.4% | Claude Opus 4.1 |
| GDPval | 43.6% | 30.8% | Claude Opus 4.1 |
| DeepResearch Bench | 48.3% | 45.2% | Claude Opus 4.1 |
| OSWorld | Not measured | 23.0% | Only o3 measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index45
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 84.1% | o3 |
| MMMU Pro (Vals AI) | 77.5% | 80.4% | o3 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 82.7% | Only o3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 20.1% | Only o3 measured |
| GPQA Diamond (Epoch AI run) | 77.3% | 81.8% | o3 |
| ARC-AGI | Not measured | 60.8% | Only o3 measured |
| ARC-AGI-2 | Not measured | 6.5% | Only o3 measured |
| SimpleBench | 60.0% | 53.1% | Claude Opus 4.1 |
| Chess puzzles | Not measured | 37.0% | Only o3 measured |
| Mystery game puzzles | 21.0% | 29.0% | o3 |
| EBR-bench | 7.9% | Not measured | Only Claude Opus 4.1 measured |
| VPCT | 35.0% | 52.0% | o3 |
| LMArena Text: hard prompts | 1442 | 1402 | Claude Opus 4.1 |
| LMArena Text: expert | 1438 | 1402 | Claude Opus 4.1 |
| LMArena Text: hard prompts in English | 1451 | 1411 | Claude Opus 4.1 |
| LMArena Vision: diagrams | Not measured | 1220 | Only o3 measured |
| LMArena Vision: homework | Not measured | 1234 | Only o3 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| AIME | 78.2% | 85.3% | o3 |
| MATH 500 (Vals AI) | 95.4% | 94.6% | Claude Opus 4.1 |
| MGSM (Vals AI) | 94.4% | 91.8% | Claude Opus 4.1 |
| AA Math Index | Not measured | 88.3 | Only o3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 88.3% | Only o3 measured |
| OTIS Mock AIME | 68.9% | 84.4% | o3 |
| FrontierMath, tiers 1 to 3 | 12.6% | 33.3% | o3 |
| FrontierMath, tier 4 | 2.4% | Not measured | Only Claude Opus 4.1 measured |
| MATH level 5 | Not measured | 97.8% | Only o3 measured |
| LMArena Text: math | 1431 | 1426 | Claude Opus 4.1 |
| LMArena Text: mathematical work | 1434 | 1423 | Claude Opus 4.1 |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 85.6% | Claude Opus 4.1 |
| LegalBench (Vals AI) | 83.5% | 83.8% | o3 |
| CorpFin (Vals AI) | Not measured | 59.7% | Only o3 measured |
| TaxEval (Vals AI) | 73.7% | 74.6% | o3 |
| MortgageTax (Vals AI) | 61.1% | 65.7% | o3 |
| MedQA (Vals AI) | 93.6% | 96.1% | o3 |
| MedCode (Vals AI) | 47.2% | 47.3% | o3 |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.3% | Only o3 measured |
| SimpleQA Verified | Not measured | 49.4% | Only o3 measured |
| GeoBench | Not measured | 74.0% | Only o3 measured |
| LMArena Text: science | 1422 | 1429 | o3 |
| LMArena Text: medicine and healthcare | 1416 | 1448 | o3 |
| LMArena Text: legal and government | 1421 | 1428 | o3 |
| LMArena Text: business and finance | 1406 | 1393 | Claude Opus 4.1 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1177 | 1036 | Claude Opus 4.1 |
| Design Arena: UI components | 1164 | 1016 | Claude Opus 4.1 |
| Design Arena: game dev | 1172 | 1034 | Claude Opus 4.1 |
| Design Arena: data viz | 1166 | 1200 | o3 |
| Design Arena: 3D | 1153 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: all code categories | 1171 | 1021 | Claude Opus 4.1 |
| 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 index148
| Benchmark | Claude Opus 4.1 | o3 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 31.4% | 41.8% | o3 |
| MedScribe (Vals AI) | 73.9% | 76.7% | o3 |
| IFBench | Not measured | 71.4% | Only o3 measured |
| Long context reasoning (AA-LCR) | Not measured | 74.7% | Only o3 measured |
| DTBench | 80.0% | 84.8% | o3 |
| LMCA | 37.1% | 39.7% | o3 |
| Fiction.LiveBench | Not measured | 88.9% | Only o3 measured |
| Creative writing (Lech Mazur) | 84.7% | 83.9% | Claude Opus 4.1 |
| CL-bench | Not measured | 17.8% | Only o3 measured |
| LMArena Text | 1419 | 1410 | Claude Opus 4.1 |
| LMArena Text: instruction following | 1435 | 1368 | Claude Opus 4.1 |
| LMArena Text: creative writing | 1412 | 1359 | Claude Opus 4.1 |
| LMArena Vision | Not measured | 1214 | Only o3 measured |
| LMArena Text: English | 1433 | 1417 | Claude Opus 4.1 |
| LMArena Text: non-English | 1405 | 1401 | Claude Opus 4.1 |
| LMArena Text: Chinese | 1427 | 1437 | o3 |
| LMArena Text: German | 1413 | 1420 | o3 |
| LMArena Text: Japanese | 1377 | 1403 | o3 |
| LMArena Text: Korean | 1381 | 1370 | Claude Opus 4.1 |
| LMArena Text: French | 1433 | 1430 | Claude Opus 4.1 |
| LMArena Text: Spanish | 1448 | 1395 | Claude Opus 4.1 |
| LMArena Text: Russian | 1422 | 1406 | Claude Opus 4.1 |
| LMArena Text: Polish | 1413 | 1438 | o3 |
| LMArena Text: multi-turn | 1444 | 1405 | Claude Opus 4.1 |
| LMArena Text: longer queries | 1455 | 1372 | Claude Opus 4.1 |
| LMArena Text: writing and language | 1418 | 1372 | Claude Opus 4.1 |
| LMArena Text: entertainment and media | 1398 | 1373 | Claude Opus 4.1 |
| LMArena Vision: English | Not measured | 1221 | Only o3 measured |
| LMArena Vision: Chinese | Not measured | 1237 | Only o3 measured |
| LMArena Vision: reading text | Not measured | 1218 | Only o3 measured |
| LMArena Vision: humor | Not measured | 1222 | Only o3 measured |
| LMArena Vision: captioning | Not measured | 1210 | Only o3 measured |
| LMArena Vision: recognizing things | Not measured | 1234 | Only o3 measured |
| LMArena Vision: creative writing | Not measured | 1201 | Only o3 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | o3 | 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
o3 costs less
Repository review
50K input + 3K output tokens
o3 costs less
Agent loop
200K input + 10K output tokens
o3 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 | OpenAI o3 |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2025 | April 16, 2025 |
| Context window | 200K | 200K |
| Input $/Mtok | $15.00 | $2.00 |
| Output $/Mtok | $75.00 | $8.00 |
| Coding index | 27.2 | 70.7 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $0.571 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than o3 for coding?
Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Claude Opus 4.1 or o3?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; o3 costs $2.00 and $8.00. Cost per solved task is known for o3 only.
Which has the bigger context window, Claude Opus 4.1 or o3?
Neither: both take 200K tokens.
How many benchmarks is the Claude Opus 4.1 vs o3 comparison based on?
62 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 o3's on 2. Where only one model has a result, the page says so instead of naming a winner.