Claude Opus 5.5 vs GPT-6.1 Sol
Verdict
- Claude Opus 5.5 (max) leads on quality: 72.0 vs 69.3.
- Claude Opus 5.5 (max) is stronger in agents & tools, coding, composite, knowledge, long context, maths, multimodal.
- GPT-6.1 Sol (max) is stronger in reasoning, human preference.
- GPT-6.1 Sol (max) is 2.0× cheaper ($4.00 vs $8.00 per 1M blended).
- Claude Opus 5.5 (max) streams 1.7× faster (96 vs 56 tokens per second).
| Metric | Claude Opus 5.5 (max) | GPT-6.1 Sol (max) |
|---|---|---|
| BenchLeader Index | 72.0 | 69.3 |
| Agents & tools score | 69.0 | 63.9 |
| Coding score | 82.9 | 72.4 |
| Composite score | 84.7 | 79.0 |
| Knowledge score | 79.2 | 78.8 |
| Long context score | 67.6 | 66.8 |
| Maths score | 74.9 | 72.5 |
| Multimodal score | 71.1 | 66.2 |
| Reasoning score | 76.0 | 76.4 |
| Human preference score | – | 68.1 |
| Blended price $/M | $8.00 | $4.00 |
| Output speed | 96 tok/s | 56 tok/s |
| Time to first answer | 662.1 s | 326.9 s |
| Context window | 1M | 1.1M |
| GPQA Diamond | 90.6% | 95.4% |
| FrontierMath Tiers 1–3 | 91.2% | 93.7% |
| FrontierMath Tier 4 | 95.0% | 100.0% |
| OTIS Mock AIME | 100.0% | 100.0% |
| SimpleQA Verified | 72.2% | 73.9% |
| Terminal-Bench | 64.8% | 58.2% |
| SciCode | 66.9% | 54.2% |
| APEX-Agents | 73.5% | 60.0% |
| ProofBench | 100.0% | – |
| LMArena Text | – | 1484 |
| LMArena Hard Prompts | – | 1507 |
| LMArena Coding | – | 1545 |
| LMArena WebDev | 1813 | 1755 |
| LMArena Vision | – | 1288 |
| LMArena Agent | – | 11.7 |
| LiveBench | 83.2% | 81.6% |
| LiveBench Reasoning | 92.2% | 92.6% |
| LiveBench Coding | 89.3% | 80.4% |
| LiveBench Agentic Coding | 71.7% | 54.5% |
| LiveBench Mathematics | 97.1% | 96.8% |
| LiveBench Data Analysis | 80.3% | 82.7% |
| LiveBench Language | 86.3% | 90.1% |
| LiveBench Instruction Following | 65.7% | 74.2% |
| AA Intelligence Index v4.3.2 | 57.6 | 51.8 |
| AA-LCR | 84.7% | 83.0% |
| MMMU-Pro | 87.7% | 86.0% |
| AA-Omniscience | 46.4 | 41.5 |
| Humanity's Last Exam (AA) | 61.4% | 52.9% |
| SciCode (AA) | 66.9% | 54.2% |
| IOI | – | 96.9% |
| Vals Index | – | 61.1 |
| ARC-AGI-1 | 97.5% | 96.5% |
| ARC-AGI-2 | 91.7% | 94.2% |
| ARC-AGI-3 | – | 96.2% |
| CritPt | 31.7% | 31.7% |
| GDPval-AA v2.1 | 68.3% | 53.8% |
| ITBench SRE (AA) | 38.2% | – |
| Analyst Agent (AA) | 56.3% | 50.0% |
| BioMysteryBench | – | 79.6% |
| Code Migration | – | 65.1% |
| CUA-bench | 14.0% | – |
| CyberBench | – | 39.3% |
| Excel Modeling Benchmark | – | 70.8% |
| Finance Agent v2 | – | 52.0% |
| Harvey's Legal Agent Benchmark | – | 5.4% |
| Legal Research Bench | – | 38.5% |
| MedCode | – | 48.8% |
| MedScribe | – | 86.5% |
| MysteryMechanism | – | 46.4% |
| Public Benefits Bench | – | 59.3% |
| SAGE | – | 46.5% |
| SREBench | – | 50.8% |
| Tax Agent Bench | – | 62.3% |
| Terminal-Bench 4.0 (Vals) | – | 55.0% |
| Vibe Code Bench v1.1 | – | 88.9% |
| LMArena Maths | – | 1488 |
| LMArena Creative Writing | – | 1462 |
| LMArena Instruction Following | – | 1488 |
| LMArena Multi-turn | – | 1487 |
| LMArena Longer Queries | – | 1496 |
| Chess Puzzles | – | 61.0% |
| EBR-bench | 71.4% | 54.3% |
| Mystery Game Puzzles | 71.0% | 80.0% |
| MirrorCode | 77.4% | – |
| LMCA | 68.2% | – |
| DTBench | 98.9% | – |
| CursorBench | 57.8% | – |
| GDP.pdf | 30.6% | – |
| FrontierSWE | 62.3% | – |
| Terminal-Bench 4.0 (AA) | 59.6% | 56.1% |
| AutomationBench | 69.5% | 64.9% |
| GDP.pdf | 26.2% | 31.0% |
| MLCR | 66.7% | 33.9% |
| Harvey LAB | 4.2% | 6.9% |
| AA-Omniscience: accuracy | 66.2% | 62.1% |
| AA-Omniscience: non-hallucination | 41.4% | 45.7% |
| AA-Briefcase v1.1 | 1807 | 1557 |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Claude Opus 5.5 vs GPT-6.1 Sol: questions
- Is Claude Opus 5.5 better than GPT-6.1 Sol?
- Claude Opus 5.5 (max) leads on quality: 72.0 vs 69.3. The BenchLeader Index combines every independent quality benchmark; Claude Opus 5.5 (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Claude Opus 5.5 better than GPT-6.1 Sol for coding?
- Claude Opus 5.5 scores higher in coding (83 vs 72 on the category index, where 50 is average).
- Is Claude Opus 5.5 better than GPT-6.1 Sol for agentic tasks?
- Claude Opus 5.5 scores higher in agentic tasks (69 vs 64 on the category index, where 50 is average).
- Which is cheaper, Claude Opus 5.5 or GPT-6.1 Sol?
- GPT-6.1 Sol is cheaper: $4.00 against $8.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Opus 5.5 or GPT-6.1 Sol?
- Claude Opus 5.5 streams faster: 96 against 56 output tokens per second.
- Which has the larger context window?
- GPT-6.1 Sol accepts more context: 1.1M against 1M tokens.