GPT-5 Pro vs GPT-6 Sol
GPT-5 Pro Verdict
- GPT-6 Sol (max) leads on quality: 67.7 vs 60.3.
- GPT-5 Pro is stronger in multimodal.
- GPT-6 Sol (max) is stronger in knowledge, reasoning, composite, long context.
- GPT-6 Sol (max) is 10× cheaper ($4.00 vs $41.25 per 1M blended).
| Metric | GPT-5 Pro | GPT-6 Sol (max) |
|---|---|---|
| BenchLeader Index | 60.3 | 67.7 |
| Knowledge score | 66.9 | 75.4 |
| Multimodal score | 67.4 | 67.1 |
| Reasoning score | 56.9 | 95.0 |
| Composite score | – | 86.2 |
| Long context score | – | 67.7 |
| Blended price $/M | $41.25 | $4.00 |
| Output speed | – | 126 tok/s |
| Time to first answer | – | 107.2 s |
| Context window | 400k | 1.1M |
| Humanity's Last Exam | 31.6% | – |
| SimpleBench | 61.6% | – |
| Epoch Capabilities Index | 150.3 | – |
| AA Intelligence Index | – | 47.5 |
| AA-LCR | – | 83.7% |
| MMMU-Pro | – | 83.3% |
| AA-Omniscience | – | 27.1 |
| Humanity's Last Exam (AA) | – | 47.9% |
| SciCode (AA) | – | 57.6% |
| PRBench Finance | 51.1% | – |
| PRBench Legal | 49.9% | – |
| VISTA | 52.4% | – |
| MultiNRC | 65.2% | – |
| Kagi LLM Benchmark | 76.8% | – |
| ARC-AGI-1 | 70.2% | – |
| ARC-AGI-2 | 18.3% | – |
| CritPt | – | 30.9% |
| GDPval (AA) | – | 49.4% |
| FORTRESS | 15.2% | – |
| MASK | 86.0% | – |
| Terminal-Bench 4.0 (AA) | – | 43.9% |
| AutomationBench | – | 61.6% |
| GDP.pdf | – | 24.8% |
| MLCR | – | 16.1% |
| AA-Omniscience: accuracy | – | 54.5% |
| AA-Omniscience: non-hallucination | – | 39.9% |
| AA-Briefcase | – | 1483 |
| DeepSearchQA | 65.2% | – |
Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.
GPT-5 Pro vs GPT-6 Sol: questions
- Is GPT-5 Pro better than GPT-6 Sol?
- GPT-6 Sol (max) leads on quality: 67.7 vs 60.3. The BenchLeader Index combines every independent quality benchmark; GPT-6 Sol (max) is ahead overall as of 2026-09-23, but check the category scores for your use.
- Which is cheaper, GPT-5 Pro or GPT-6 Sol?
- GPT-6 Sol is cheaper: $4.00 against $41.25 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- GPT-6 Sol accepts more context: 1.1M against 400k tokens.