Claude Sonnet 4.5 vs GPT-5.6 Luna
Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 59.1 for Claude Sonnet 4.5.
Pick Claude Sonnet 4.5 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 71
- Claude Sonnet 4.5 only
- 21
- GPT-5.6 Luna only
- 45
- 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
GPT-5.6 Luna
GPT-5.6 Luna scores 61.5 against 59.1.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 37.3 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 42.1 against 15.8.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Luna
GPT-5.6 Luna leads, 91.7% against 81.6%.
Same board, both measured
Math
AIME
No call
Only Claude Sonnet 4.5 has a AIME result, 88.2%.
Directional only
Knowledge
MMLU Pro
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 87.4% against 86.0%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Luna
GPT-5.6 Luna leads, 1256 against 1190.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Luna
GPT-5.6 Luna takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Luna
Claude Sonnet 4.5 $0.011, GPT-5.6 Luna $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Luna
Claude Sonnet 4.5 $1.16, GPT-5.6 Luna $0.04.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Sonnet 4.5 59.1 from 2 benchmarks, GPT-5.6 Luna 61.5 from 2 benchmarks.
- Widest category
- Math, 30.2 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: Claude Sonnet 4.5 2.4% against GPT-5.6 Luna 61.0%, 58.5 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.5 $15.00 against GPT-5.6 Luna $1.20 per million output tokens, 12.5x apart.
- Context window
- Claude Sonnet 4.5 takes 1M tokens, GPT-5.6 Luna 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 Sonnet 4.5 | Bars | GPT-5.6 Luna | Ties |
|---|---|---|---|---|
| Coding | 2 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 4 | 7 | ||
| Math | 0 | 6 | ||
| Knowledge | 7 | 4 | ||
| Web design | 2 | 6 | ||
| General | 14 | 8 | ||
| All shared boards | 29 | 42 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index27
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| SWE-bench Verified | 74.8% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Multilingual | 67.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LiveBench coding | Not measured | 73.6% | Only GPT-5.6 Luna measured |
| LMArena WebDev | 1394 | 1518 | GPT-5.6 Luna |
| AA Coding Index | 52.1 | 71.4 | GPT-5.6 Luna |
| LiveCodeBench (Vals AI) | 73.0% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Verified (Vals AI) | 70.0% | 93.0% | GPT-5.6 Luna |
| Terminal-Bench 4 (Vals AI) | Not measured | 11.6% | Only GPT-5.6 Luna measured |
| Vibe Code Bench (Vals AI) | 22.6% | 77.1% | GPT-5.6 Luna |
| Code migration (Vals AI) | Not measured | 44.5% | Only GPT-5.6 Luna measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only GPT-5.6 Luna measured |
| IOI (Vals AI) | Not measured | 61.8% | Only GPT-5.6 Luna measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 79.0% | Only GPT-5.6 Luna measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 22.6% | Only GPT-5.6 Luna measured |
| SkillsBench (Vals AI) | Not measured | 60.5% | Only GPT-5.6 Luna measured |
| CyberBench (Vals AI) | Not measured | 73.6% | Only GPT-5.6 Luna measured |
| SciCode | Not measured | 53.6% | Only GPT-5.6 Luna measured |
| Terminal-Bench | 46.5% | Not measured | Only Claude Sonnet 4.5 measured |
| FrontierCode | Not measured | 39.8% | Only GPT-5.6 Luna measured |
| GSO-Bench | 14.7% | Not measured | Only Claude Sonnet 4.5 measured |
| WeirdML | 47.7% | 60.9% | GPT-5.6 Luna |
| Cybench | 60.0% | Not measured | Only Claude Sonnet 4.5 measured |
| ALE-Bench | Not measured | 1667.4 | Only GPT-5.6 Luna measured |
| LMArena Text: coding | 1488 | 1466 | Claude Sonnet 4.5 |
| LMArena Text: software and IT | 1473 | 1463 | Claude Sonnet 4.5 |
| LMArena WebDev: React | 1386 | 1508 | GPT-5.6 Luna |
| LMArena WebDev: HTML | 1399 | 1520 | GPT-5.6 Luna |
| LMArena WebDev: from an image | Not measured | 1517 | Only GPT-5.6 Luna measured |
| Neither model has a result on the other 10 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 37.3 | GPT-5.6 Luna |
| Epoch Capabilities Index | 146.7 | 156.5 | GPT-5.6 Luna |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AA Agentic Index | 15.8 | 42.1 | GPT-5.6 Luna |
| Design Arena: agents building web apps | 1060 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building full-stack apps | 1050 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building mobile apps | 1137 | Not measured | Only Claude Sonnet 4.5 measured |
| LiveBench research | Not measured | 51.0% | Only GPT-5.6 Luna measured |
| LiveBench browser | Not measured | 68.0% | Only GPT-5.6 Luna measured |
| LiveBench long agentic | Not measured | 30.4% | Only GPT-5.6 Luna measured |
| SREBench (Vals AI) | Not measured | 1.5% | Only GPT-5.6 Luna measured |
| Finance Agent (Vals AI) | Not measured | 55.0% | Only GPT-5.6 Luna measured |
| Tax Agent Bench (Vals AI) | Not measured | 24.8% | Only GPT-5.6 Luna measured |
| Legal Research Bench (Vals AI) | Not measured | 36.5% | Only GPT-5.6 Luna measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 67.1% | Only GPT-5.6 Luna measured |
| BioMysteryBench (Vals AI) | Not measured | 61.5% | Only GPT-5.6 Luna measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only GPT-5.6 Luna measured |
| Vals Science Index | Not measured | 25.3% | Only GPT-5.6 Luna measured |
| APEX-Agents | Not measured | 43.0% | Only GPT-5.6 Luna measured |
| METR time horizons | 67.4% | Not measured | Only Claude Sonnet 4.5 measured |
| Remote Labor Index | 2.1% | Not measured | Only Claude Sonnet 4.5 measured |
| GDPval | 42.5% | Not measured | Only Claude Sonnet 4.5 measured |
| BALROG | Not measured | 45.6% | Only GPT-5.6 Luna measured |
| DeepResearch Bench | 52.6% | Not measured | Only Claude Sonnet 4.5 measured |
| OSWorld | 62.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Vending-Bench 2 | $3,839 | $4,095 | GPT-5.6 Luna |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index47
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| GPQA Diamond | 81.6% | 91.7% | GPT-5.6 Luna |
| LiveBench reasoning | Not measured | 85.6% | Only GPT-5.6 Luna measured |
| MysteryMechanism (Vals AI) | Not measured | 14.4% | Only GPT-5.6 Luna measured |
| MMMU Pro (Vals AI) | 79.3% | 85.0% | GPT-5.6 Luna |
| GPQA Diamond (Artificial Analysis run) | Not measured | 91.1% | Only GPT-5.6 Luna measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 39.5% | Only GPT-5.6 Luna measured |
| GPQA Diamond (Epoch AI run) | 82.3% | 91.6% | GPT-5.6 Luna |
| ARC-AGI | 63.7% | 88.0% | GPT-5.6 Luna |
| ARC-AGI-2 | 13.6% | 59.5% | GPT-5.6 Luna |
| SimpleBench | 54.3% | 46.8% | Claude Sonnet 4.5 |
| Chess puzzles | 10.0% | 43.0% | GPT-5.6 Luna |
| Mystery game puzzles | 17.0% | 21.0% | GPT-5.6 Luna |
| EBR-bench | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| VPCT | 39.8% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1451 | Claude Sonnet 4.5 |
| LMArena Text: expert | 1483 | 1478 | Claude Sonnet 4.5 |
| LMArena Text: hard prompts in English | 1471 | 1460 | Claude Sonnet 4.5 |
| LMArena Vision: diagrams | Not measured | 1273 | Only GPT-5.6 Luna measured |
| LMArena Vision: homework | Not measured | 1282 | Only GPT-5.6 Luna measured |
| Neither model has a result on the other 2 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AIME | 88.2% | Not measured | Only Claude Sonnet 4.5 measured |
| MGSM (Vals AI) | 94.3% | Not measured | Only Claude Sonnet 4.5 measured |
| OTIS Mock AIME | 77.8% | 98.3% | GPT-5.6 Luna |
| FrontierMath, tiers 1 to 3 | 23.9% | 82.1% | GPT-5.6 Luna |
| FrontierMath, tier 4 | 2.4% | 61.0% | GPT-5.6 Luna |
| ProofBench | 19.0% | 60.0% | GPT-5.6 Luna |
| MATH level 5 | 97.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: math | 1449 | 1459 | GPT-5.6 Luna |
| LMArena Text: mathematical work | 1462 | 1470 | GPT-5.6 Luna |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index74
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| MMLU Pro | 87.4% | 86.0% | Claude Sonnet 4.5 |
| LegalBench (Vals AI) | 84.1% | 84.0% | Claude Sonnet 4.5 |
| CaseLaw (Vals AI) | 62.2% | Not measured | Only Claude Sonnet 4.5 measured |
| CorpFin (Vals AI) | 62.0% | 64.2% | GPT-5.6 Luna |
| TaxEval (Vals AI) | 73.3% | 76.2% | GPT-5.6 Luna |
| MortgageTax (Vals AI) | 64.0% | 67.3% | GPT-5.6 Luna |
| MedQA (Vals AI) | 94.7% | Not measured | Only Claude Sonnet 4.5 measured |
| MedCode (Vals AI) | 44.1% | 42.4% | Claude Sonnet 4.5 |
| SimpleQA Verified | 30.7% | 41.0% | GPT-5.6 Luna |
| LMArena Text: science | 1448 | 1433 | Claude Sonnet 4.5 |
| LMArena Text: medicine and healthcare | 1444 | 1399 | Claude Sonnet 4.5 |
| LMArena Text: legal and government | 1451 | 1446 | Claude Sonnet 4.5 |
| LMArena Text: business and finance | 1440 | 1439 | Claude Sonnet 4.5 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index26
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| Design Arena: websites | 1190 | 1256 | GPT-5.6 Luna |
| Design Arena: UI components | 1173 | 1250 | GPT-5.6 Luna |
| Design Arena: game dev | 1166 | 1196 | GPT-5.6 Luna |
| Design Arena: data viz | 1167 | 1212 | GPT-5.6 Luna |
| Design Arena: 3D | 1158 | 1121 | Claude Sonnet 4.5 |
| Design Arena: all code categories | 1183 | 1231 | GPT-5.6 Luna |
| Design Arena: SVG | 1114 | 1193 | GPT-5.6 Luna |
| Design Arena: ASCII art | 1204 | 1144 | Claude Sonnet 4.5 |
| LiveBench design | Not measured | 76.0% | Only GPT-5.6 Luna measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index148
| Benchmark | Claude Sonnet 4.5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 78.0% | Only GPT-5.6 Luna measured |
| Public Benefits Bench (Vals AI) | Not measured | 61.2% | Only GPT-5.6 Luna measured |
| SAGE (Vals AI) | 36.1% | 44.2% | GPT-5.6 Luna |
| MedScribe (Vals AI) | 84.5% | 84.4% | Claude Sonnet 4.5 |
| Vals Multimodal Index | Not measured | 69.1% | Only GPT-5.6 Luna measured |
| Long context reasoning (AA-LCR) | Not measured | 83.7% | Only GPT-5.6 Luna measured |
| DTBench | 83.2% | 89.1% | GPT-5.6 Luna |
| LMCA | 38.8% | 48.5% | GPT-5.6 Luna |
| Surface Evolver Bench | Not measured | 61.9% | Only GPT-5.6 Luna measured |
| Furniture assembly | Not measured | 42.5% | Only GPT-5.6 Luna measured |
| LMArena Text | 1438 | 1431 | Claude Sonnet 4.5 |
| LMArena Text: instruction following | 1459 | 1437 | Claude Sonnet 4.5 |
| LMArena Text: creative writing | 1442 | 1396 | Claude Sonnet 4.5 |
| LMArena Vision | Not measured | 1257 | Only GPT-5.6 Luna measured |
| LMArena Text: English | 1450 | 1441 | Claude Sonnet 4.5 |
| LMArena Text: non-English | 1425 | 1417 | Claude Sonnet 4.5 |
| LMArena Text: Chinese | 1460 | 1470 | GPT-5.6 Luna |
| LMArena Text: German | 1427 | 1455 | GPT-5.6 Luna |
| LMArena Text: Japanese | 1390 | 1415 | GPT-5.6 Luna |
| LMArena Text: Korean | 1402 | 1415 | GPT-5.6 Luna |
| LMArena Text: French | 1459 | 1458 | Claude Sonnet 4.5 |
| LMArena Text: Spanish | 1458 | 1446 | Claude Sonnet 4.5 |
| LMArena Text: Russian | 1437 | 1427 | Claude Sonnet 4.5 |
| LMArena Text: Polish | 1423 | 1405 | Claude Sonnet 4.5 |
| LMArena Text: multi-turn | 1465 | 1434 | Claude Sonnet 4.5 |
| LMArena Text: longer queries | 1475 | 1436 | Claude Sonnet 4.5 |
| LMArena Text: writing and language | 1442 | 1419 | Claude Sonnet 4.5 |
| LMArena Text: entertainment and media | 1428 | 1402 | Claude Sonnet 4.5 |
| LMArena Vision: English | Not measured | 1263 | Only GPT-5.6 Luna measured |
| LMArena Vision: Chinese | Not measured | 1294 | Only GPT-5.6 Luna measured |
| LMArena Vision: reading text | Not measured | 1264 | Only GPT-5.6 Luna measured |
| LMArena Vision: humor | Not measured | 1190 | Only GPT-5.6 Luna measured |
| LMArena Vision: creative writing | Not measured | 1257 | Only GPT-5.6 Luna measured |
| LMArena Document | 1450 | 1457 | GPT-5.6 Luna |
| 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 Sonnet 4.5 | GPT-5.6 Luna | 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 Luna costs less
Repository review
50K input + 3K output tokens
GPT-5.6 Luna costs less
Agent loop
200K input + 10K output tokens
GPT-5.6 Luna 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 Sonnet 4.5 | OpenAI GPT-5.6 Luna |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 29, 2025 | July 9, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $3.00 | $0.20 |
| Output $/Mtok | $15.00 | $1.20 |
| Coding index | 59.1 | 61.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.16 | $0.04 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.5 better than GPT-5.6 Luna for coding?
Pick GPT-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 59.1 for Claude Sonnet 4.5. Pick Claude Sonnet 4.5 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Claude Sonnet 4.5 or GPT-5.6 Luna?
Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-5.6 Luna costs $0.20 and $1.20. Per solved SWE-bench Verified task, Claude Sonnet 4.5 costs $1.16 and GPT-5.6 Luna $0.04.
Which has the bigger context window, Claude Sonnet 4.5 or GPT-5.6 Luna?
GPT-5.6 Luna, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 4.5 vs GPT-5.6 Luna comparison based on?
71 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.5's coding index rests on 2 independent benchmarks and GPT-5.6 Luna's on 2. Where only one model has a result, the page says so instead of naming a winner.