Agnes 3.0 Flash vs GPT-6 Sol
Agnes 3.0 Flash 
GPT-6 Sol Verdict
- GPT-6 Sol (max) leads on quality: 67.7 vs 61.4.
- Agnes 3.0 Flash is stronger in agents & tools.
- GPT-6 Sol (max) is stronger in composite, knowledge, long context, reasoning, multimodal.
- Agnes 3.0 Flash is 53× cheaper ($0.075 vs $4.00 per 1M blended).
| Metric | Agnes 3.0 Flash | GPT-6 Sol (max) |
|---|---|---|
| BenchLeader Index | 61.4 | 67.7 |
| Agents & tools score | 76.8 | – |
| Composite score | 71.8 | 86.2 |
| Knowledge score | 58.0 | 75.4 |
| Long context score | 66.3 | 67.7 |
| Reasoning score | 68.5 | 95.0 |
| Multimodal score | – | 67.1 |
| Blended price $/M | $0.075 | $4.00 |
| Output speed | – | 126 tok/s |
| Time to first answer | – | 107.2 s |
| Context window | 1M | 1.1M |
| AA Intelligence Index | 35.5 | 47.5 |
| AA-LCR | 81.0% | 83.7% |
| MMMU-Pro | – | 83.3% |
| AA-Omniscience | -10.6 | 27.1 |
| GPQA Diamond (AA) | 92.4% | – |
| Humanity's Last Exam (AA) | 38.5% | 47.9% |
| SciCode (AA) | 51.6% | 57.6% |
| CritPt | 15.1% | 30.9% |
| GDPval (AA) | 52.5% | 49.4% |
| τ²-Bench Banking (AA) | 47.6% | – |
| Terminal-Bench 4.0 (AA) | 7.1% | 43.9% |
| Terminal-Bench 2.1 (AA) | 82.0% | – |
| AutomationBench | – | 61.6% |
| GDP.pdf | – | 24.8% |
| MLCR | – | 16.1% |
| AA-Omniscience: accuracy | 25.5% | 54.5% |
| AA-Omniscience: non-hallucination | 51.6% | 39.9% |
| AA-Briefcase | – | 1483 |
Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.
Agnes 3.0 Flash vs GPT-6 Sol: questions
- Is Agnes 3.0 Flash better than GPT-6 Sol?
- GPT-6 Sol (max) leads on quality: 67.7 vs 61.4. 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, Agnes 3.0 Flash or GPT-6 Sol?
- Agnes 3.0 Flash is cheaper: $0.075 against $4.00 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 1M tokens.