Claude Opus 4.6 vs GPT-6 Astra
Claude Opus 4.6 
GPT-6 Astra Verdict
- GPT-6 Astra (max) leads on quality: 70.6 vs 63.1.
- Claude Opus 4.6 is stronger in agents & tools, human preference, instruction following, long context, multimodal.
- GPT-6 Astra (max) is stronger in coding, composite, knowledge, maths, reasoning.
- Claude Opus 4.6 is 2.2× cheaper ($10.00 vs $22.00 per 1M blended).
- GPT-6 Astra (max) streams 1.4× faster (54 vs 38 tokens per second).
| Metric | Claude Opus 4.6 | GPT-6 Astra (max) |
|---|---|---|
| BenchLeader Index | 63.1 | 70.6 |
| Agents & tools score | 68.8 | 68.2 |
| Coding score | 62.3 | 79.0 |
| Composite score | 69.2 | 73.1 |
| Human preference score | 64.6 | – |
| Instruction following score | 53.7 | – |
| Knowledge score | 70.5 | 79.8 |
| Long context score | 65.5 | – |
| Maths score | 65.6 | 77.0 |
| Multimodal score | 63.6 | – |
| Reasoning score | 62.3 | 70.9 |
| Blended price $/M | $10.00 | $22.00 |
| Output speed | 38 tok/s | 54 tok/s |
| Time to first answer | 2.0 s | 328.6 s |
| Context window | 1M | 1.1M |
| GPQA Diamond | 90.5% | 95.8% |
| FrontierMath Tiers 1–3 | – | 93.7% |
| FrontierMath Tier 4 | – | 97.6% |
| OTIS Mock AIME | 94.4% | 100.0% |
| SWE-bench Verified (Epoch) | 78.7% | – |
| SimpleQA Verified | – | 75.6% |
| Humanity's Last Exam | 19.0% | – |
| Terminal-Bench | 79.8% | 58.2% |
| SimpleBench | 67.6% | – |
| SciCode | – | 56.5% |
| Cybench | 93.0% | – |
| Remote Labor Index | 4.2% | – |
| WeirdML | 77.9% | – |
| APEX-Agents | 32.4% | – |
| FrontierCode | 26.6% | 53.3% |
| GSO-Bench | 33.3% | – |
| Epoch Capabilities Index | 155.3 | – |
| LMArena Text | 1498 | – |
| LMArena Hard Prompts | 1527 | – |
| LMArena Coding | 1546 | – |
| LMArena WebDev | 1537 | 1796 |
| LMArena Vision | 1311 | – |
| LMArena Agent | – | 12.5 |
| LiveBench | – | 82.2% |
| LiveBench Reasoning | – | 92.7% |
| LiveBench Coding | – | 80.4% |
| LiveBench Agentic Coding | – | 57.3% |
| LiveBench Mathematics | – | 96.8% |
| LiveBench Data Analysis | – | 83.0% |
| LiveBench Language | – | 89.4% |
| AA Intelligence Index | 31.9 | – |
| IFBench | 53.1% | – |
| AA-LCR | 78.0% | – |
| MMMU-Pro | 75.4% | – |
| AA-Omniscience | 13.7 | – |
| Terminal-Bench Hard | 48.5% | – |
| GPQA Diamond (AA) | 89.6% | – |
| Humanity's Last Exam (AA) | 39.9% | – |
| τ²-Bench Telecom (AA) | 92.1% | – |
| Terminal-Bench 2.1 (Vals) | – | 87.3% |
| Vals Index | – | 66.6 |
| HiL-Bench | 38.3% | – |
| EQ-Bench 4 | 1223 | – |
| Kagi LLM Benchmark | 72.4% | – |
| SWE-bench Verified (bash only) | 75.6% | – |
| SWE-bench Verified (any scaffold) | 75.6% | – |
| ARC-AGI-1 | – | 97.5% |
| ARC-AGI-2 | – | 95.0% |
| ARC-AGI-3 | – | 62.7% |
Data as of 2026-09-09. Best configuration of each model; every score links to its source on the model pages.