Claude Opus 4.5 vs GPT-6 Astra
Verdict
- GPT-6 Astra (max) leads on quality: 70.9 vs 60.7.
- Claude Opus 4.5 (thinking) is stronger in agents & tools, instruction following, long context, multimodal.
- GPT-6 Astra (max) is stronger in coding, composite, knowledge, maths, reasoning.
- Claude Opus 4.5 (thinking) is 2.0× cheaper ($10.00 vs $20.00 per 1M blended).
- Claude Opus 4.5 (thinking) streams 1.7× faster (45 vs 27 tokens per second).
| Metric | Claude Opus 4.5 (thinking) | GPT-6 Astra (max) |
|---|---|---|
| BenchLeader Index | 60.7 | 70.9 |
| Agents & tools score | 74.6 | 68.2 |
| Coding score | 56.4 | 78.6 |
| Composite score | 65.8 | 72.9 |
| Instruction following score | 54.8 | – |
| Knowledge score | 61.0 | 80.0 |
| Long context score | 65.2 | – |
| Maths score | 64.0 | 77.2 |
| Multimodal score | 58.0 | – |
| Reasoning score | 58.6 | 73.6 |
| Blended price $/M | $10.00 | $20.00 |
| Output speed | 45 tok/s | 27 tok/s |
| Time to first answer | 17.3 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 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 | 29.1 | – |
| IFBench | 58.0% | – |
| AA-LCR | 77.3% | – |
| MMMU-Pro | 74.0% | – |
| AA-Omniscience | 14 | – |
| Terminal-Bench Hard | 47.0% | – |
| GPQA Diamond (AA) | 86.6% | – |
| Humanity's Last Exam (AA) | 30.1% | – |
| τ²-Bench Telecom (AA) | 89.5% | – |
| AIME (Vals) | 95.4% | – |
| LiveCodeBench | 83.7% | – |
| MMLU-Pro | 87.3% | – |
| IOI | 20.3% | – |
| LegalBench | 84.6% | – |
| CorpFin | 65.1% | – |
| TaxEval | 74.9% | – |
| MedQA | 95.9% | – |
| MGSM | 95.2% | – |
| Terminal-Bench 2.1 (Vals) | – | 87.3% |
| SWE-bench (Vals) | 76.4% | – |
| GPQA Diamond (Vals) | 85.9% | – |
| Vals Index | – | 66.6 |
| MultiChallenge | 59.0% | – |
| PRBench Finance | 46.2% | – |
| PRBench Legal | 44.2% | – |
| VISTA | 46.4% | – |
| MultiNRC | 48.6% | – |
| TutorBench | 51.2% | – |
| Kagi LLM Benchmark | 80.2% | – |
| ARC-AGI-1 | 80.0% | 97.5% |
| ARC-AGI-2 | 37.6% | 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 4.5 vs GPT-6 Astra: questions
- Is Claude Opus 4.5 better than GPT-6 Astra?
- GPT-6 Astra (max) leads on quality: 70.9 vs 60.7. 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 4.5 better than GPT-6 Astra for coding?
- GPT-6 Astra scores higher in coding (79 vs 56 on the category index, where 50 is average).
- Is Claude Opus 4.5 better than GPT-6 Astra for agentic tasks?
- Claude Opus 4.5 scores higher in agentic tasks (75 vs 68 on the category index, where 50 is average).
- Which is cheaper, Claude Opus 4.5 or GPT-6 Astra?
- Claude Opus 4.5 is cheaper: $10.00 against $20.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Opus 4.5 or GPT-6 Astra?
- Claude Opus 4.5 streams faster: 45 against 27 output tokens per second.
- Which has the larger context window?
- GPT-6 Astra accepts more context: 1.1M against 200k tokens.