GPT-6 Sol vs o3
Verdict
- GPT-6 Sol (max) leads on quality: 67.7 vs 60.0.
- GPT-6 Sol (max) is stronger in composite, knowledge, long context, multimodal, reasoning.
- o3 is stronger in agents & tools, coding, human preference, instruction following, maths.
- They cost about the same ($3.50 per 1M blended).
| Metric | GPT-6 Sol (max) | o3 |
|---|---|---|
| BenchLeader Index | 67.7 | 60.0 |
| Composite score | 86.2 | 53.4 |
| Knowledge score | 75.4 | 56.7 |
| Long context score | 67.7 | 63.0 |
| Multimodal score | 67.1 | 57.5 |
| Reasoning score | 95.0 | 52.5 |
| Agents & tools score | – | 70.2 |
| Coding score | – | 61.9 |
| Human preference score | – | 62.3 |
| Instruction following score | – | 65.1 |
| Maths score | – | 71.2 |
| Blended price $/M | $4.00 | $3.50 |
| Output speed | 126 tok/s | 118 tok/s |
| Time to first answer | 107.2 s | 8.2 s |
| Context window | 1.1M | 200k |
| Epoch Capabilities Index | – | 146.9 |
| LMArena Text | – | 1432 |
| LMArena Hard Prompts | – | 1441 |
| LMArena Coding | – | 1460 |
| LMArena Vision | – | 1214 |
| AA Intelligence Index | 47.5 | 20.2 |
| IFBench | – | 71.4% |
| AA-LCR | 83.7% | 74.7% |
| MMMU-Pro | 83.3% | 70.1% |
| AA-Omniscience | 27.1 | -15.6 |
| Terminal-Bench Hard | – | 37.1% |
| GPQA Diamond (AA) | – | 82.7% |
| Humanity's Last Exam (AA) | 47.9% | 20.1% |
| SciCode (AA) | 57.6% | – |
| τ²-Bench Telecom (AA) | – | 80.7% |
| PRBench Finance | – | 47.7% |
| PRBench Legal | – | 48.6% |
| MMMU (validation) | – | 82.9% |
| MMMU-Pro (official) | – | 76.4% |
| Kagi LLM Benchmark | – | 67.6% |
| IFEval (HELM) | – | 86.9% |
| Omni-MATH (HELM) | – | 71.4% |
| WildBench (HELM) | – | 86.1% |
| MMLU-Pro (HELM) | – | 85.9% |
| GPQA Diamond (HELM) | – | 75.3% |
| HELM Capabilities mean | – | 81.1% |
| Aider Polyglot | – | 81.3% |
| SWE-bench Verified (bash only) | – | 58.4% |
| SWE-bench Verified (any scaffold) | – | 58.4% |
| BFCL Overall | – | 63.0% |
| CritPt | 30.9% | 1.1% |
| GDPval (AA) | 49.4% | – |
| FORTRESS | – | 16.0% |
| PropensityBench | – | 10.5% |
| SciPredict | – | 17.9% |
| VTB | – | 13.7% |
| LMArena Maths | – | 1448 |
| LMArena Creative Writing | – | 1382 |
| LMArena Instruction Following | – | 1402 |
| LMArena Multi-turn | – | 1420 |
| LMArena Longer Queries | – | 1410 |
| METR Time Horizons | – | 63.6% |
| ForecastBench | – | 62.5% |
| Terminal-Bench 4.0 (AA) | 43.9% | – |
| AutomationBench | 61.6% | – |
| GDP.pdf | 24.8% | – |
| MLCR | 16.1% | – |
| AA-Omniscience: accuracy | 54.5% | 38.6% |
| AA-Omniscience: non-hallucination | 39.9% | 11.9% |
| AA-Briefcase | 1483 | – |
| BrowseComp-Plus | – | 50.5% |
Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.
GPT-6 Sol vs o3: questions
- Is GPT-6 Sol better than o3?
- GPT-6 Sol (max) leads on quality: 67.7 vs 60.0. 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-6 Sol or o3?
- o3 is cheaper: $3.50 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-6 Sol or o3?
- GPT-6 Sol streams faster: 126 against 118 output tokens per second.
- Which has the larger context window?
- GPT-6 Sol accepts more context: 1.1M against 200k tokens.