Model comparison
Claude 3 Opus vs GPT-5.6 Luna
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 29.5 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Claude 3 Opus scores higher in 0 categories and GPT-5.6 Luna in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 14.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.7% for Claude 3 Opus and 98.3% for GPT-5.6 Luna.
Side by side
| Claude 3 Opus | GPT-5.6 Luna | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 29.5 | 54.6 |
| Released | 2024-02-29 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.20 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 46 | 52 |
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Category by category
Coding GPT-5.6 Luna leads
Claude 3 Opus: 32.9 (#267), GPT-5.6 Luna: 54.5 (#28)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| WeirdML | 19.2% | 60.9% |
| LMArena Coding | 1264 | 1466 |
| DeepSWE | — | 67.2% |
| FrontierCode | — | 39.8% |
| CursorBench | — | 35.9% |
| LMArena WebDev | — | 1519 |
| SciCode | — | 53.6% |
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 38.6% | — |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 1,667 |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use GPT-5.6 Luna leads
Claude 3 Opus: 24.6 (#116), GPT-5.6 Luna: 34.4 (#45)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| APEX-Agents | — | 43% |
| Cybench | 10% | — |
| BALROG | — | 45.6% |
| GDP.pdf | — | 22.7% |
| METR Time Horizons | 29.5% | — |
| Vending-Bench 2 | — | 4,095 |
Reasoning GPT-5.6 Luna leads
Claude 3 Opus: 14.6 (#324), GPT-5.6 Luna: 47.6 (#43)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| SimpleBench | 23.5% | 46.8% |
| Chess Puzzles | 5% | 40% |
| LMArena Hard Prompts | 1245 | 1451 |
| DTBench | 61.6% | 89.1% |
| LMCA | 17% | 48.5% |
| Epoch Capabilities Index | 126.91 | 156.39 |
| ARC-AGI-2 | — | 59.5% |
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | — | 69.4% |
| ARC-AGI-1 | — | 88% |
| CritPt | — | 20.6% |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 40.6% | — |
| Mystery Game Puzzles | — | 21% |
| LiveBench Data Analysis | 57.9% | — |
| Surface Evolver Bench | — | 61.9% |
| ForecastBench | 58.4 | — |
| LiveBench | 49.2% | — |
| WinoGrande | 88.5% | — |
Math GPT-5.6 Luna leads
Claude 3 Opus: 14.8 (#299), GPT-5.6 Luna: 77.7 (#14)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.7% | 98.3% |
| LMArena Math | 1273 | 1458 |
| FrontierMath (Tiers 1-3) | — | 82.1% |
| FrontierMath Tier 4 | — | 61% |
| ProofBench | — | 60% |
| LiveBench Math | 43.6% | — |
| MATH Level 5 | 37.5% | — |
Knowledge GPT-5.6 Luna leads
Claude 3 Opus: 24.5 (#267), GPT-5.6 Luna: 58.5 (#34)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| GPQA Diamond | 47.2% | 91.6% |
| SimpleQA Verified | 12.6% | 41% |
| LMArena Expert | 1223 | 1478 |
| Confabulations | 22.7% | — |
| MMLU | 84.6% | — |
Multimodal GPT-5.6 Luna leads
Claude 3 Opus: 27.1 (#116), GPT-5.6 Luna: 42.7 (#28)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| LMArena Vision | 1023 | 1258 |
| Blueprint-Bench 2 | — | 22.6% |
| Furniture Assembly | — | 42.5% |
| LMArena Document | — | 1457 |
Multilingual GPT-5.6 Luna leads
Claude 3 Opus: 41.4 (#207), GPT-5.6 Luna: 52.8 (#78)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| LMArena Non-English | 1258 | 1417 |
| LMArena Chinese | 1248 | 1470 |
| LMArena French | 1275 | 1456 |
| LMArena German | 1258 | 1454 |
| LMArena Japanese | 1204 | 1411 |
| LMArena Korean | 1187 | 1415 |
| LMArena Russian | 1280 | 1428 |
| LMArena Spanish | 1246 | 1448 |
Instruction Following GPT-5.6 Luna leads
Claude 3 Opus: 64.1 (#228), GPT-5.6 Luna: 75.6 (#57)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| LMArena Instruction Following | 1248 | 1437 |
| LiveBench Instruction Following | 63.9% | — |
Long Context GPT-5.6 Luna leads
Claude 3 Opus: 38.2 (#202), GPT-5.6 Luna: 43.9 (#82)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| LMArena Longer Query | 1259 | 1436 |
Writing & Preference GPT-5.6 Luna leads
Claude 3 Opus: 47.2 (#213), GPT-5.6 Luna: 68.0 (#29)
| Benchmark | Claude 3 Opus | GPT-5.6 Luna |
|---|---|---|
| LMArena Text | 1262 | 1431 |
| LMArena Creative Writing | 1235 | 1396 |
| LMArena Multi-Turn | 1275 | 1434 |
| EQ-Bench Creative Writing | — | 1829 |
| EQ-Bench 4 | — | 1156 |
| LiveBench Language | 50.4% | — |
Frequently asked questions
Is Claude 3 Opus better than GPT-5.6 Luna?
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 29.5 on the Noometry Index.
Is Claude 3 Opus or GPT-5.6 Luna better for coding?
GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3 Opus and GPT-5.6 Luna share?
27 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and GPT-5.6 Luna has 52.