Claude Opus 4.1 vs GPT-6 Astra
Claude Opus 4.1 
GPT-6 Astra Verdict
- GPT-6 Astra (max) leads on quality: 70.9 vs 58.2.
- Claude Opus 4.1 (thinking) is stronger in human preference, instruction following, long context, multimodal.
- GPT-6 Astra (max) is stronger in agents & tools, coding, composite, knowledge, maths, reasoning.
- GPT-6 Astra (max) is 1.5× cheaper ($20.00 vs $30.00 per 1M blended).
- GPT-6 Astra (max) streams 2.7× faster (27 vs 10 tokens per second).
| Metric | Claude Opus 4.1 (thinking) | GPT-6 Astra (max) |
|---|---|---|
| BenchLeader Index | 58.2 | 70.9 |
| Agents & tools score | 63.6 | 68.2 |
| Coding score | 53.3 | 78.6 |
| Composite score | 57.9 | 72.9 |
| Human preference score | 64.6 | – |
| Instruction following score | 52.6 | – |
| Knowledge score | 58.3 | 80.0 |
| Long context score | 64.5 | – |
| Maths score | 59.3 | 77.2 |
| Multimodal score | 56.5 | – |
| Reasoning score | 65.6 | 73.6 |
| Blended price $/M | $30.00 | $20.00 |
| Output speed | 10 tok/s | 27 tok/s |
| Time to first answer | 3.2 s | 337.3 s |
| Context window | 200k | 1.1M |
| GPQA Diamond | – | 95.8% |
| FrontierMath Tiers 1–3 | – | 93.7% |
| FrontierMath Tier 4 | – | 97.6% |
| OTIS Mock AIME | – | 100.0% |
| SimpleQA Verified | – | 75.6% |
| Terminal-Bench | – | 58.2% |
| SciCode | – | 56.5% |
| FrontierCode | – | 53.3% |
| LMArena Text | 1450 | – |
| LMArena Hard Prompts | 1480 | – |
| LMArena Coding | 1512 | – |
| LMArena WebDev | – | 1796 |
| 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 | 22.9 | – |
| IFBench | 55.4% | – |
| AA-LCR | 76.0% | – |
| MMMU-Pro | 67.9% | – |
| Terminal-Bench Hard | 34.3% | – |
| GPQA Diamond (AA) | 80.9% | – |
| Humanity's Last Exam (AA) | 12.5% | – |
| τ²-Bench Telecom (AA) | 71.4% | – |
| AIME (Vals) | 78.2% | – |
| LiveCodeBench | 66.5% | – |
| MMLU-Pro | 87.9% | – |
| TaxEval | 73.7% | – |
| MedQA | 93.6% | – |
| MGSM | 94.4% | – |
| Terminal-Bench 2.1 (Vals) | – | 87.3% |
| GPQA Diamond (Vals) | 76.3% | – |
| Vals Index | – | 66.6 |
| MultiChallenge | 57.2% | – |
| VISTA | 48.4% | – |
| MultiNRC | 38.4% | – |
| TutorBench | 50.8% | – |
| ARC-AGI-1 | – | 97.5% |
| ARC-AGI-2 | – | 95.0% |
| ARC-AGI-3 | – | 98.6% |
Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.
Claude Opus 4.1 vs GPT-6 Astra: questions
- Is Claude Opus 4.1 better than GPT-6 Astra?
- GPT-6 Astra (max) leads on quality: 70.9 vs 58.2. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra (max) is ahead overall as of 2026-09-10, but check the category scores for your use.
- Is Claude Opus 4.1 better than GPT-6 Astra for coding?
- GPT-6 Astra scores higher in coding (79 vs 53 on the category index, where 50 is average).
- Is Claude Opus 4.1 better than GPT-6 Astra for agentic tasks?
- GPT-6 Astra scores higher in agentic tasks (68 vs 64 on the category index, where 50 is average).
- Which is cheaper, Claude Opus 4.1 or GPT-6 Astra?
- GPT-6 Astra is cheaper: $20.00 against $30.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Opus 4.1 or GPT-6 Astra?
- GPT-6 Astra streams faster: 27 against 10 output tokens per second.
- Which has the larger context window?
- GPT-6 Astra accepts more context: 1.1M against 200k tokens.