Claude Sonnet 5 vs GPT-5.6 Luna
Updated October 21, 2026. 109 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 Sonnet 5 for coding: it scores 63.5 on the Vibe Coding Index against 61.5 for GPT-5.6 Luna.
Pick GPT-5.6 Luna when output tokens cost 8.3x less, or when a solved task costs $0.04 against $1.87.
- Shared results
- 109
- Claude Sonnet 5 only
- 11
- GPT-5.6 Luna 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 Sonnet 5
Claude Sonnet 5 scores 63.5 against 61.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Sonnet 5
Claude Sonnet 5 leads, 38.2 against 37.3.
Same board, both measured
Agentic work
AA Agentic Index
Claude Sonnet 5
Claude Sonnet 5 leads, 43.6 against 42.1.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Luna
GPT-5.6 Luna leads, 91.7% against 88.9%.
Same board, both measured
Knowledge
MMLU Pro
Claude Sonnet 5
Claude Sonnet 5 leads, 87.5% against 86.0%.
Same board, both measured
Web design
Design Arena: websites
Claude Sonnet 5
Claude Sonnet 5 leads, 1274 against 1256.
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 5 $0.0070, 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 5 $1.87, GPT-5.6 Luna $0.04.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Sonnet 5 63.5 from 2 benchmarks, GPT-5.6 Luna 61.5 from 2 benchmarks.
- Widest category
- Math, 12.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench research: Claude Sonnet 5 82.8% against GPT-5.6 Luna 51.0%, 31.8 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5 $10.00 against GPT-5.6 Luna $1.20 per million output tokens, 8.3x apart.
- Context window
- Claude Sonnet 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 5 | Bars | GPT-5.6 Luna | Ties |
|---|---|---|---|---|
| Coding | 12 | 9 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 9 | 3 | ||
| Reasoning | 10 | 3 | 1 tie | |
| Math | 3 | 3 | ||
| Knowledge | 7 | 4 | ||
| Web design | 8 | 0 | 1 tie | |
| General | 24 | 9 | ||
| All shared boards | 75 | 31 | 3 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index129
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| LiveBench coding | 74.7% | 73.6% | Claude Sonnet 5 |
| LMArena WebDev | 1540 | 1518 | Claude Sonnet 5 |
| AA Coding Index | 71.5 | 71.4 | Claude Sonnet 5 |
| LiveCodeBench (Vals AI) | 82.4% | Not measured | Only Claude Sonnet 5 measured |
| SWE-bench Verified (Vals AI) | 79.6% | 93.0% | GPT-5.6 Luna |
| Terminal-Bench 4 (Vals AI) | 10.6% | 11.6% | GPT-5.6 Luna |
| Vibe Code Bench (Vals AI) | 81.3% | 77.1% | Claude Sonnet 5 |
| Code migration (Vals AI) | 44.4% | 44.5% | GPT-5.6 Luna |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 45.0% | 61.8% | GPT-5.6 Luna |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 79.0% | GPT-5.6 Luna |
| Vibe Code Bench 1-100 (Vals AI) | 13.8% | 22.6% | GPT-5.6 Luna |
| SkillsBench (Vals AI) | 46.5% | 60.5% | GPT-5.6 Luna |
| CyberBench (Vals AI) | 70.3% | 73.6% | GPT-5.6 Luna |
| SciCode | 54.3% | 53.6% | Claude Sonnet 5 |
| FrontierCode | 42.7% | 39.8% | Claude Sonnet 5 |
| GSO-Bench | 37.3% | Not measured | Only Claude Sonnet 5 measured |
| WeirdML | 68.8% | 60.9% | Claude Sonnet 5 |
| ALE-Bench | 1463.1 | 1667.4 | GPT-5.6 Luna |
| LMArena Text: coding | 1483 | 1466 | Claude Sonnet 5 |
| LMArena Text: software and IT | 1474 | 1463 | Claude Sonnet 5 |
| LMArena WebDev: React | 1541 | 1508 | Claude Sonnet 5 |
| LMArena WebDev: HTML | 1527 | 1520 | Claude Sonnet 5 |
| LMArena WebDev: from an image | 1540 | 1517 | Claude Sonnet 5 |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.2 | 37.3 | Claude Sonnet 5 |
| Epoch Capabilities Index | 156.9 | 156.5 | Claude Sonnet 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index93
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AA Agentic Index | 43.6 | 42.1 | Claude Sonnet 5 |
| Design Arena: agents building web apps | 1245 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building mobile apps | 1215 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building Android apps | 1231 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building Godot games | 1225 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building games | 1227 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: HTML slides | 1218 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: PowerPoint slides | 1216 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: spreadsheets | 1004 | Not measured | Only Claude Sonnet 5 measured |
| LiveBench research | 82.8% | 51.0% | Claude Sonnet 5 |
| LiveBench browser | 72.0% | 68.0% | Claude Sonnet 5 |
| LiveBench long agentic | 39.0% | 30.4% | Claude Sonnet 5 |
| SREBench (Vals AI) | 0.4% | 1.5% | GPT-5.6 Luna |
| Finance Agent (Vals AI) | 53.9% | 55.0% | GPT-5.6 Luna |
| Tax Agent Bench (Vals AI) | 29.4% | 24.8% | Claude Sonnet 5 |
| Legal Research Bench (Vals AI) | 41.8% | 36.5% | Claude Sonnet 5 |
| Excel Modeling Benchmark (Vals AI) | 66.3% | 67.1% | GPT-5.6 Luna |
| BioMysteryBench (Vals AI) | Not measured | 61.5% | Only GPT-5.6 Luna measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | 0.0% | Claude Sonnet 5 |
| Vals Science Index | Not measured | 25.3% | Only GPT-5.6 Luna measured |
| APEX-Agents | 54.5% | 43.0% | Claude Sonnet 5 |
| BALROG | Not measured | 45.6% | Only GPT-5.6 Luna measured |
| Vending-Bench 2 | $6,378 | $4,095 | Claude Sonnet 5 |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index103
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| GPQA Diamond | 88.9% | 91.7% | GPT-5.6 Luna |
| LiveBench reasoning | 88.7% | 85.6% | Claude Sonnet 5 |
| MysteryMechanism (Vals AI) | Not measured | 14.4% | Only GPT-5.6 Luna measured |
| MMMU Pro (Vals AI) | 83.0% | 85.0% | GPT-5.6 Luna |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 91.1% | Tie |
| Humanity's Last Exam (Artificial Analysis run) | 41.3% | 39.5% | Claude Sonnet 5 |
| GPQA Diamond (Epoch AI run) | 90.5% | 91.6% | GPT-5.6 Luna |
| ARC-AGI | Not measured | 88.0% | Only GPT-5.6 Luna measured |
| ARC-AGI-2 | Not measured | 59.5% | Only GPT-5.6 Luna measured |
| SimpleBench | 60.6% | 46.8% | Claude Sonnet 5 |
| Chess puzzles | 45.0% | 43.0% | Claude Sonnet 5 |
| Mystery game puzzles | 35.0% | 21.0% | Claude Sonnet 5 |
| LMArena Text: hard prompts | 1461 | 1451 | Claude Sonnet 5 |
| LMArena Text: expert | 1489 | 1478 | Claude Sonnet 5 |
| LMArena Text: hard prompts in English | 1464 | 1460 | Claude Sonnet 5 |
| LMArena Vision: diagrams | 1293 | 1273 | Claude Sonnet 5 |
| LMArena Vision: homework | 1311 | 1282 | Claude Sonnet 5 |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.7% | 98.3% | GPT-5.6 Luna |
| FrontierMath, tiers 1 to 3 | 65.6% | 82.1% | GPT-5.6 Luna |
| FrontierMath, tier 4 | 29.3% | 61.0% | GPT-5.6 Luna |
| ProofBench | 77.0% | 60.0% | Claude Sonnet 5 |
| LMArena Text: math | 1467 | 1459 | Claude Sonnet 5 |
| LMArena Text: mathematical work | 1481 | 1470 | Claude Sonnet 5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index74
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| MMLU Pro | 87.5% | 86.0% | Claude Sonnet 5 |
| LegalBench (Vals AI) | 83.9% | 84.0% | GPT-5.6 Luna |
| CorpFin (Vals AI) | 67.0% | 64.2% | Claude Sonnet 5 |
| TaxEval (Vals AI) | 75.6% | 76.2% | GPT-5.6 Luna |
| MortgageTax (Vals AI) | 70.0% | 67.3% | Claude Sonnet 5 |
| MedCode (Vals AI) | 47.5% | 42.4% | Claude Sonnet 5 |
| SimpleQA Verified | 33.7% | 41.0% | GPT-5.6 Luna |
| LMArena Text: science | 1460 | 1433 | Claude Sonnet 5 |
| LMArena Text: medicine and healthcare | 1442 | 1399 | Claude Sonnet 5 |
| LMArena Text: legal and government | 1454 | 1446 | Claude Sonnet 5 |
| LMArena Text: business and finance | 1436 | 1439 | GPT-5.6 Luna |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1256 | Claude Sonnet 5 |
| Design Arena: UI components | 1279 | 1250 | Claude Sonnet 5 |
| Design Arena: game dev | 1278 | 1196 | Claude Sonnet 5 |
| Design Arena: data viz | 1251 | 1212 | Claude Sonnet 5 |
| Design Arena: 3D | 1261 | 1121 | Claude Sonnet 5 |
| Design Arena: all code categories | 1276 | 1231 | Claude Sonnet 5 |
| Design Arena: SVG | 1193 | 1193 | Tie |
| Design Arena: ASCII art | 1207 | 1144 | Claude Sonnet 5 |
| LiveBench design | 82.0% | 76.0% | Claude Sonnet 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index249
| Benchmark | Claude Sonnet 5 | GPT-5.6 Luna | Leader |
|---|---|---|---|
| LiveBench data analysis | 71.7% | 78.0% | GPT-5.6 Luna |
| Public Benefits Bench (Vals AI) | 66.0% | 61.2% | Claude Sonnet 5 |
| SAGE (Vals AI) | 48.9% | 44.2% | Claude Sonnet 5 |
| MedScribe (Vals AI) | 76.0% | 84.4% | GPT-5.6 Luna |
| Vals Multimodal Index | 68.8% | 69.1% | GPT-5.6 Luna |
| Long context reasoning (AA-LCR) | 82.0% | 83.7% | GPT-5.6 Luna |
| DTBench | 92.5% | 89.1% | Claude Sonnet 5 |
| LMCA | 50.0% | 48.5% | Claude Sonnet 5 |
| Surface Evolver Bench | 60.0% | 61.9% | GPT-5.6 Luna |
| Furniture assembly | Not measured | 42.5% | Only GPT-5.6 Luna measured |
| LMArena Text | 1442 | 1431 | Claude Sonnet 5 |
| LMArena Text: instruction following | 1452 | 1437 | Claude Sonnet 5 |
| LMArena Text: creative writing | 1416 | 1396 | Claude Sonnet 5 |
| LMArena Vision | 1273 | 1257 | Claude Sonnet 5 |
| LMArena Text: English | 1450 | 1441 | Claude Sonnet 5 |
| LMArena Text: non-English | 1431 | 1417 | Claude Sonnet 5 |
| LMArena Text: Chinese | 1478 | 1470 | Claude Sonnet 5 |
| LMArena Text: German | 1442 | 1455 | GPT-5.6 Luna |
| LMArena Text: Japanese | 1422 | 1415 | Claude Sonnet 5 |
| LMArena Text: Korean | 1412 | 1415 | GPT-5.6 Luna |
| LMArena Text: French | 1463 | 1458 | Claude Sonnet 5 |
| LMArena Text: Spanish | 1438 | 1446 | GPT-5.6 Luna |
| LMArena Text: Russian | 1450 | 1427 | Claude Sonnet 5 |
| LMArena Text: Polish | 1425 | 1405 | Claude Sonnet 5 |
| LMArena Text: multi-turn | 1453 | 1434 | Claude Sonnet 5 |
| LMArena Text: longer queries | 1462 | 1436 | Claude Sonnet 5 |
| LMArena Text: writing and language | 1436 | 1419 | Claude Sonnet 5 |
| LMArena Text: entertainment and media | 1411 | 1402 | Claude Sonnet 5 |
| LMArena Vision: English | 1275 | 1263 | Claude Sonnet 5 |
| LMArena Vision: Chinese | 1331 | 1294 | Claude Sonnet 5 |
| LMArena Vision: reading text | 1288 | 1264 | Claude Sonnet 5 |
| LMArena Vision: humor | 1261 | 1190 | Claude Sonnet 5 |
| LMArena Vision: creative writing | 1246 | 1257 | GPT-5.6 Luna |
| LMArena Document | 1466 | 1457 | Claude Sonnet 5 |
| 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 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 5 | OpenAI GPT-5.6 Luna |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | June 30, 2026 | July 9, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.00 | $0.20 |
| Output $/Mtok | $10.00 | $1.20 |
| Coding index | 63.5 | 61.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.87 | $0.04 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5 better than GPT-5.6 Luna for coding?
Pick Claude Sonnet 5 for coding: it scores 63.5 on the Vibe Coding Index against 61.5 for GPT-5.6 Luna. Pick GPT-5.6 Luna when output tokens cost 8.3x less, or when a solved task costs $0.04 against $1.87.
Which is cheaper, Claude Sonnet 5 or GPT-5.6 Luna?
Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-5.6 Luna costs $0.20 and $1.20. Per solved SWE-bench Verified task, Claude Sonnet 5 costs $1.87 and GPT-5.6 Luna $0.04.
Which has the bigger context window, Claude Sonnet 5 or GPT-5.6 Luna?
GPT-5.6 Luna, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 5 vs GPT-5.6 Luna comparison based on?
109 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 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.