Claude Opus 4.8 vs GPT-5.4 Pro
Claude Opus 4.8 
GPT-5.4 Pro Verdict
- Claude Opus 4.8 and GPT-5.4 Pro are level on quality (64.7 vs 64.2).
- Claude Opus 4.8 is stronger in agents & tools, coding, composite, human preference, long context.
- GPT-5.4 Pro is stronger in instruction following, knowledge, multimodal, reasoning.
- Claude Opus 4.8 is 6.8× cheaper ($10.00 vs $67.50 per 1M blended).
- Claude Opus 4.8 streams 57.7× faster (58 vs 1 tokens per second).
| Metric | Claude Opus 4.8 | GPT-5.4 Pro |
|---|---|---|
| BenchLeader Index | 64.7 | 64.2 |
| Agents & tools score | 65.0 | – |
| Coding score | 65.7 | – |
| Composite score | 81.9 | – |
| Human preference score | 65.6 | – |
| Instruction following score | 61.6 | 67.3 |
| Knowledge score | 66.3 | 73.2 |
| Long context score | 65.3 | – |
| Multimodal score | 64.4 | 69.8 |
| Reasoning score | 64.2 | 75.1 |
| Blended price $/M | $10.00 | $67.50 |
| Output speed | 58 tok/s | 1 tok/s |
| Time to first answer | 29.5 s | 6.7 s |
| Context window | 1M | 1.1M |
| Humanity's Last Exam | – | 44.3% |
| SimpleBench | 64.8% | 74.1% |
| Remote Labor Index | 8.3% | – |
| FrontierCode | 46.5% | – |
| GSO-Bench | 47.1% | – |
| Epoch Capabilities Index | 158.3 | 158.9 |
| LMArena Text | 1473 | – |
| LMArena Hard Prompts | 1503 | – |
| LMArena Coding | 1527 | – |
| LMArena WebDev | 1540 | – |
| LMArena Vision | 1289 | – |
| AA Intelligence Index | 42.0 | – |
| IFBench | 62.2% | – |
| AA-LCR | 77.7% | – |
| AA-Omniscience | 28.8 | – |
| Terminal-Bench Hard | 58.3% | – |
| GPQA Diamond (AA) | 92.0% | – |
| Humanity's Last Exam (AA) | 48.7% | – |
| SciCode (AA) | 54.4% | – |
| τ²-Bench Telecom (AA) | 94.4% | – |
| LiveCodeBench | 87.8% | – |
| MMLU-Pro | 89.6% | – |
| LegalBench | 83.6% | – |
| CorpFin | 66.7% | – |
| TaxEval | 75.6% | – |
| Terminal-Bench 2.1 (Vals) | 71.9% | – |
| SWE-bench (Vals) | 88.6% | – |
| GPQA Diamond (Vals) | 92.4% | – |
| Vals Index | 60.9 | – |
| MultiChallenge | – | 69.2% |
| VISTA | – | 53.9% |
| MultiNRC | – | 62.3% |
| HiL-Bench | 35.3% | – |
| TutorBench | – | 56.6% |
| EQ-Bench 4 | 1281 | – |
Data as of 2026-09-09. Best configuration of each model; every score links to its source on the model pages.