Model comparison
Claude 3 Opus vs GPT-6 Astra
GPT-6 Astra is the stronger model overall, scoring 70.3 to 29.3 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude 3 Opus scores higher in 0 categories and GPT-6 Astra in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.4 to 13.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.7% for Claude 3 Opus and 100% for GPT-6 Astra.
Side by side
| Claude 3 Opus | GPT-6 Astra | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 29.3 | 70.3 |
| Released | 2024-02-29 | 2026-09-03 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $10 |
| Output $ / M tokens | — | $50 |
| Results tracked | 46 | 51 |
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Category by category
Coding GPT-6 Astra leads
Claude 3 Opus: 32.4 (#261), GPT-6 Astra: 70.5 (#3)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| WeirdML | 19.2% | 93.6% |
| LMArena Coding | 1264 | 1488 |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| LMArena WebDev | — | 1792 |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 38.6% | — |
| MirrorCode | — | 46.7% |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 2,951 |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use GPT-6 Astra leads
Claude 3 Opus: 24.3 (#110), GPT-6 Astra: 52.3 (#3)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| APEX-Agents | — | 64.7% |
| Remote Labor Index | — | 20.8% |
| Cybench | 10% | — |
| BALROG | — | 68.3% |
| METR Time Horizons | 29.5% | — |
| Vending-Bench 2 | — | 15,515 |
Reasoning GPT-6 Astra leads
Claude 3 Opus: 14.2 (#318), GPT-6 Astra: 85.1 (#1)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| Chess Puzzles | 5% | 72% |
| LMArena Hard Prompts | 1246 | 1464 |
| DTBench | 61.6% | 97.3% |
| LMCA | 17% | 64.4% |
| Epoch Capabilities Index | 126.91 | 166.6 |
| ARC-AGI-2 | — | 95% |
| SimpleBench | 23.5% | — |
| NYT Connections (extended) | — | 98.1% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| EnigmaEval | 0.8% | — |
| EBR-Bench | — | 76.2% |
| LiveBench Reasoning | 40.6% | — |
| Mystery Game Puzzles | — | 84% |
| LiveBench Data Analysis | 57.9% | — |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 58.4 | — |
| LiveBench | 49.2% | — |
| WinoGrande | 88.5% | — |
Math GPT-6 Astra leads
Claude 3 Opus: 13.9 (#293), GPT-6 Astra: 93.4 (#1)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.7% | 100% |
| LMArena Math | 1273 | 1463 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 97.6% |
| ProofBench | — | 99% |
| LiveBench Math | 43.6% | — |
| MATH Level 5 | 37.5% | — |
| FrontierMath Erdős | — | 2.9% |
Knowledge GPT-6 Astra leads
Claude 3 Opus: 24.5 (#262), GPT-6 Astra: 75.3 (#1)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 47.2% | 95.8% |
| SimpleQA Verified | 12.6% | 75.6% |
| LMArena Expert | 1223 | 1486 |
| Humanity's Last Exam | — | 54.8% |
| Confabulations | 22.7% | — |
| Vectara Hallucination Rate | — | 8.7% |
| MMLU | 84.6% | — |
Multimodal GPT-6 Astra leads
Claude 3 Opus: 26.6 (#112), GPT-6 Astra: 55.1 (#3)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 1023 | 1280 |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |
Multilingual GPT-6 Astra leads
Claude 3 Opus: 41.6 (#202), GPT-6 Astra: 54.0 (#53)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1258 | 1431 |
| LMArena Chinese | 1248 | 1495 |
| LMArena French | 1274 | 1467 |
| LMArena Russian | 1280 | 1434 |
| LMArena Spanish | 1246 | 1412 |
| LMArena German | 1258 | — |
| LMArena Japanese | 1204 | — |
| LMArena Korean | 1187 | — |
Instruction Following GPT-6 Astra leads
Claude 3 Opus: 64.3 (#223), GPT-6 Astra: 76.6 (#37)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1248 | 1454 |
| LiveBench Instruction Following | 63.9% | — |
Long Context GPT-6 Astra leads
Claude 3 Opus: 38.2 (#197), GPT-6 Astra: 44.7 (#57)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1259 | 1460 |
Writing & Preference GPT-6 Astra leads
Claude 3 Opus: 47.4 (#208), GPT-6 Astra: 75.7 (#7)
| Benchmark | Claude 3 Opus | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1262 | 1443 |
| LMArena Creative Writing | 1235 | 1423 |
| LMArena Multi-Turn | 1275 | 1457 |
| EQ-Bench Creative Writing | — | 2173 |
| LiveBench Language | 50.4% | — |
Frequently asked questions
Is Claude 3 Opus better than GPT-6 Astra?
GPT-6 Astra is the stronger model overall, scoring 70.3 to 29.3 on the Noometry Index.
Is Claude 3 Opus or GPT-6 Astra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 70.5 versus 32.4 in the Noometry coding category.
How many benchmarks do Claude 3 Opus and GPT-6 Astra share?
23 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and GPT-6 Astra has 51.