Claude Opus 5 vs GPT-5.6 Sol
Updated October 21, 2026. 129 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 Opus 5 for coding: it scores 81.8 on the Vibe Coding Index against 76.7 for GPT-5.6 Sol.
Pick GPT-5.6 Sol when output tokens cost 1.3x less, or when a solved task costs $1.20 against $1.33.
- Shared results
- 129
- Claude Opus 5 only
- 1
- GPT-5.6 Sol only
- 7
- 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
Claude Opus 5
Claude Opus 5 scores 81.8 against 76.7.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Opus 5
Claude Opus 5 leads, 50.8 against 47.0.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 5
Claude Opus 5 leads, 56.5 against 50.2.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Sol
GPT-5.6 Sol leads, 95.2% against 93.4%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 5
Claude Opus 5 leads, 91.6% against 89.1%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Sol
GPT-5.6 Sol leads, 1321 against 1309.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Sol
GPT-5.6 Sol takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Sol
Claude Opus 5 $0.018, GPT-5.6 Sol $0.014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Sol
Claude Opus 5 $1.33, GPT-5.6 Sol $1.20.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 5 81.8 from 2 benchmarks, GPT-5.6 Sol 76.7 from 2 benchmarks.
- Widest category
- Knowledge, 8.2 points apart on average over 11 shared benchmarks.
- Widest single gap
- LiveBench research: Claude Opus 5 88.9% against GPT-5.6 Sol 54.5%, 34.4 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 5 $25.00 against GPT-5.6 Sol $20.00 per million output tokens, 1.3x apart.
- Context window
- Claude Opus 5 takes 1M tokens, GPT-5.6 Sol 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 5 | Bars | GPT-5.6 Sol | Ties |
|---|---|---|---|---|
| Coding | 19 | 5 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 20 | 6 | ||
| Reasoning | 12 | 5 | 1 tie | |
| Math | 3 | 3 | ||
| Knowledge | 9 | 1 | 1 tie | |
| Web design | 4 | 5 | ||
| General | 30 | 3 | ||
| All shared boards | 99 | 28 | 2 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index195
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| LiveBench coding | 90.8% | 89.7% | Claude Opus 5 |
| LMArena WebDev | 1689 | 1616 | Claude Opus 5 |
| AA Coding Index | 78.0 | 77.4 | Claude Opus 5 |
| LiveCodeBench (Vals AI) | 89.0% | 82.6% | Claude Opus 5 |
| SWE-bench Verified (Vals AI) | 97.0% | 96.2% | Claude Opus 5 |
| Terminal-Bench 4 (Vals AI) | 53.5% | 37.9% | Claude Opus 5 |
| Vibe Code Bench (Vals AI) | 88.4% | 80.5% | Claude Opus 5 |
| Code migration (Vals AI) | 57.5% | 52.9% | Claude Opus 5 |
| ProgramBench (Vals AI) | 3.0% | 1.5% | Claude Opus 5 |
| IOI (Vals AI) | 84.3% | 91.2% | GPT-5.6 Sol |
| Terminal-Bench 2.1 (Vals AI) | 84.6% | 85.8% | GPT-5.6 Sol |
| Vibe Code Bench 1-100 (Vals AI) | 28.5% | 20.0% | Claude Opus 5 |
| SkillsBench (Vals AI) | 60.4% | 54.1% | Claude Opus 5 |
| CyberBench (Vals AI) | 65.4% | 76.3% | GPT-5.6 Sol |
| SciCode | 56.4% | 57.8% | GPT-5.6 Sol |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 65.9% | Only GPT-5.6 Sol measured |
| FrontierCode | 53.4% | 47.5% | Claude Opus 5 |
| FrontierSWE | 52.0% | 32.2% | Claude Opus 5 |
| GSO-Bench | Not measured | 76.5% | Only GPT-5.6 Sol measured |
| WeirdML | 91.8% | 88.8% | Claude Opus 5 |
| MirrorCode | Not measured | 20.0% | Only GPT-5.6 Sol measured |
| ALE-Bench | 2164.6 | 2176.9 | GPT-5.6 Sol |
| LMArena Text: coding | 1533 | 1496 | Claude Opus 5 |
| LMArena Text: software and IT | 1527 | 1489 | Claude Opus 5 |
| LMArena WebDev: React | 1711 | 1620 | Claude Opus 5 |
| LMArena WebDev: HTML | 1680 | 1618 | Claude Opus 5 |
| LMArena WebDev: from an image | 1662 | 1609 | Claude Opus 5 |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| AA Intelligence Index | 50.8 | 47.0 | Claude Opus 5 |
| Epoch Capabilities Index | 163.9 | 162.8 | Claude Opus 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index206
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| AA Agentic Index | 56.5 | 50.2 | Claude Opus 5 |
| Design Arena: agents building web apps | 1266 | 1245 | Claude Opus 5 |
| Design Arena: agents building full-stack apps | 1306 | 1261 | Claude Opus 5 |
| Design Arena: agents building mobile apps | 1348 | 1249 | Claude Opus 5 |
| Design Arena: agents building Android apps | 1258 | 1246 | Claude Opus 5 |
| Design Arena: agents building Godot games | 1279 | 1260 | Claude Opus 5 |
| Design Arena: agents building games | 1261 | 1267 | GPT-5.6 Sol |
| Design Arena: HTML slides | Not measured | 1286 | Only GPT-5.6 Sol measured |
| Design Arena: PowerPoint slides | 1265 | 1240 | Claude Opus 5 |
| LiveBench research | 88.9% | 54.5% | Claude Opus 5 |
| LiveBench browser | 84.0% | 88.0% | GPT-5.6 Sol |
| LiveBench long agentic | 62.1% | 48.5% | Claude Opus 5 |
| SREBench (Vals AI) | 12.2% | 30.5% | GPT-5.6 Sol |
| Finance Agent (Vals AI) | 58.6% | 53.8% | Claude Opus 5 |
| Tax Agent Bench (Vals AI) | 45.5% | 31.1% | Claude Opus 5 |
| Legal Research Bench (Vals AI) | 55.3% | 48.1% | Claude Opus 5 |
| Excel Modeling Benchmark (Vals AI) | 73.6% | 72.3% | Claude Opus 5 |
| BioMysteryBench (Vals AI) | 79.3% | 71.1% | Claude Opus 5 |
| Terminal-Bench-Science (Vals AI) | 27.1% | 20.0% | Claude Opus 5 |
| Vals Science Index | 47.9% | 41.5% | Claude Opus 5 |
| Time Horizon Index (Vals AI) | 18.8% | 23.8% | GPT-5.6 Sol |
| CUA-bench (Vals AI) | 9.0% | 8.3% | Claude Opus 5 |
| τ²-Bench Telecom | Not measured | 85.1% | Only GPT-5.6 Sol measured |
| APEX-Agents | 65.8% | Not measured | Only Claude Opus 5 measured |
| OSWorld 2.0 | 31.4% | 27.3% | Claude Opus 5 |
| BALROG | 63.4% | 60.0% | Claude Opus 5 |
| PostTrainBench | 35.0% | 36.2% | GPT-5.6 Sol |
| Vending-Bench 2 | $11,182 | $9,619 | Claude Opus 5 |
| LMArena Search | 1242 | 1261 | GPT-5.6 Sol |
| Neither model has a result on the other 10 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index125
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| GPQA Diamond | 93.4% | 95.2% | GPT-5.6 Sol |
| LiveBench reasoning | 91.2% | 91.7% | GPT-5.6 Sol |
| MysteryMechanism (Vals AI) | 37.4% | 33.3% | Claude Opus 5 |
| MMMU Pro (Vals AI) | 89.9% | 88.8% | Claude Opus 5 |
| GPQA Diamond (Artificial Analysis run) | 93.7% | 94.1% | GPT-5.6 Sol |
| Humanity's Last Exam (Artificial Analysis run) | 54.9% | 49.5% | Claude Opus 5 |
| GPQA Diamond (Epoch AI run) | 93.9% | 93.5% | Claude Opus 5 |
| ARC-AGI | 97.5% | 97.5% | Tie |
| ARC-AGI-2 | 90.4% | 92.5% | GPT-5.6 Sol |
| SimpleBench | 80.6% | 64.8% | Claude Opus 5 |
| Chess puzzles | 43.0% | 59.0% | GPT-5.6 Sol |
| Mystery game puzzles | 59.0% | 58.0% | Claude Opus 5 |
| EBR-bench | 45.7% | 44.8% | Claude Opus 5 |
| LMArena Text: hard prompts | 1527 | 1483 | Claude Opus 5 |
| LMArena Text: expert | 1554 | 1517 | Claude Opus 5 |
| LMArena Text: hard prompts in English | 1523 | 1477 | Claude Opus 5 |
| LMArena Vision: diagrams | 1348 | 1305 | Claude Opus 5 |
| LMArena Vision: homework | 1338 | 1305 | Claude Opus 5 |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 100.0% | GPT-5.6 Sol |
| FrontierMath, tiers 1 to 3 | 85.6% | 89.1% | GPT-5.6 Sol |
| FrontierMath, tier 4 | 73.2% | 82.9% | GPT-5.6 Sol |
| ProofBench | 99.0% | 83.0% | Claude Opus 5 |
| LMArena Text: math | 1533 | 1473 | Claude Opus 5 |
| LMArena Text: mathematical work | 1544 | 1496 | Claude Opus 5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| MMLU Pro | 91.6% | 89.1% | Claude Opus 5 |
| LegalBench (Vals AI) | 87.0% | 87.0% | Tie |
| CorpFin (Vals AI) | 73.2% | 64.4% | Claude Opus 5 |
| TaxEval (Vals AI) | 75.1% | 74.8% | Claude Opus 5 |
| MortgageTax (Vals AI) | 72.1% | 67.3% | Claude Opus 5 |
| MedCode (Vals AI) | 63.6% | 44.0% | Claude Opus 5 |
| SimpleQA Verified | 59.9% | 69.7% | GPT-5.6 Sol |
| LMArena Text: science | 1531 | 1455 | Claude Opus 5 |
| LMArena Text: medicine and healthcare | 1525 | 1431 | Claude Opus 5 |
| LMArena Text: legal and government | 1530 | 1476 | Claude Opus 5 |
| LMArena Text: business and finance | 1501 | 1457 | Claude Opus 5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index45
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| Design Arena: websites | 1309 | 1321 | GPT-5.6 Sol |
| Design Arena: UI components | 1348 | 1338 | Claude Opus 5 |
| Design Arena: game dev | 1339 | 1368 | GPT-5.6 Sol |
| Design Arena: data viz | 1329 | 1323 | Claude Opus 5 |
| Design Arena: 3D | 1335 | 1385 | GPT-5.6 Sol |
| Design Arena: all code categories | 1324 | 1341 | GPT-5.6 Sol |
| Design Arena: SVG | 1310 | 1316 | GPT-5.6 Sol |
| Design Arena: ASCII art | 1352 | 1302 | Claude Opus 5 |
| LiveBench design | 83.0% | 81.6% | Claude Opus 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index303
| Benchmark | Claude Opus 5 | GPT-5.6 Sol | Leader |
|---|---|---|---|
| LiveBench data analysis | 74.6% | 79.8% | GPT-5.6 Sol |
| Public Benefits Bench (Vals AI) | 76.9% | 66.5% | Claude Opus 5 |
| SAGE (Vals AI) | 49.4% | 52.6% | GPT-5.6 Sol |
| MedScribe (Vals AI) | 91.0% | 85.2% | Claude Opus 5 |
| Vals Multimodal Index | 73.9% | 72.6% | Claude Opus 5 |
| IFBench | Not measured | 72.7% | Only GPT-5.6 Sol measured |
| Long context reasoning (AA-LCR) | 82.0% | 84.0% | GPT-5.6 Sol |
| DTBench | 97.9% | 95.7% | Claude Opus 5 |
| LMCA | 64.5% | 58.5% | Claude Opus 5 |
| Surface Evolver Bench | Not measured | 93.1% | Only GPT-5.6 Sol measured |
| Furniture assembly | 60.8% | 56.7% | Claude Opus 5 |
| LMArena Text | 1509 | 1457 | Claude Opus 5 |
| LMArena Text: instruction following | 1518 | 1483 | Claude Opus 5 |
| LMArena Text: creative writing | 1493 | 1449 | Claude Opus 5 |
| LMArena Vision | 1320 | 1281 | Claude Opus 5 |
| LMArena Text: English | 1508 | 1457 | Claude Opus 5 |
| LMArena Text: non-English | 1502 | 1451 | Claude Opus 5 |
| LMArena Text: Chinese | 1573 | 1525 | Claude Opus 5 |
| LMArena Text: German | 1527 | 1476 | Claude Opus 5 |
| LMArena Text: Japanese | 1520 | 1472 | Claude Opus 5 |
| LMArena Text: Korean | 1517 | 1442 | Claude Opus 5 |
| LMArena Text: French | 1519 | 1472 | Claude Opus 5 |
| LMArena Text: Spanish | 1523 | 1443 | Claude Opus 5 |
| LMArena Text: Russian | 1507 | 1471 | Claude Opus 5 |
| LMArena Text: Polish | 1522 | 1459 | Claude Opus 5 |
| LMArena Text: multi-turn | 1500 | 1461 | Claude Opus 5 |
| LMArena Text: longer queries | 1517 | 1481 | Claude Opus 5 |
| LMArena Text: writing and language | 1499 | 1462 | Claude Opus 5 |
| LMArena Text: entertainment and media | 1481 | 1450 | Claude Opus 5 |
| LMArena Vision: English | 1315 | 1280 | Claude Opus 5 |
| LMArena Vision: Chinese | 1400 | 1313 | Claude Opus 5 |
| LMArena Vision: reading text | 1329 | 1290 | Claude Opus 5 |
| LMArena Vision: humor | 1293 | 1246 | Claude Opus 5 |
| LMArena Vision: creative writing | 1313 | 1283 | Claude Opus 5 |
| LMArena Document | 1516 | 1483 | Claude Opus 5 |
| 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 5 | GPT-5.6 Sol | 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
GPT-5.6 Sol costs less
Repository review
50K input + 3K output tokens
GPT-5.6 Sol costs less
Agent loop
200K input + 10K output tokens
GPT-5.6 Sol 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 5 | OpenAI GPT-5.6 Sol |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | July 24, 2026 | July 9, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $5.00 | $4.00 |
| Output $/Mtok | $25.00 | $20.00 |
| Coding index | 81.8 | 76.7 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.33 | $1.20 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 5 better than GPT-5.6 Sol for coding?
Pick Claude Opus 5 for coding: it scores 81.8 on the Vibe Coding Index against 76.7 for GPT-5.6 Sol. Pick GPT-5.6 Sol when output tokens cost 1.3x less, or when a solved task costs $1.20 against $1.33.
Which is cheaper, Claude Opus 5 or GPT-5.6 Sol?
Claude Opus 5 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Per solved SWE-bench Verified task, Claude Opus 5 costs $1.33 and GPT-5.6 Sol $1.20.
Which has the bigger context window, Claude Opus 5 or GPT-5.6 Sol?
GPT-5.6 Sol, with 1.05M tokens against 1M.
How many benchmarks is the Claude Opus 5 vs GPT-5.6 Sol comparison based on?
129 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5's coding index rests on 2 independent benchmarks and GPT-5.6 Sol's on 2. Where only one model has a result, the page says so instead of naming a winner.