o1-preview
84.8%
no interval published
aiqbench · LLM benchmarks
84.8%
no interval published
84.1%
no interval published
74.2%
no interval published
One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 29 | o1-preview | openai | Sep 2024 | — | 84.8% | — | #147–314 | ||
| 35 | o1 | openai | Dec 2024 | $15 / $60 | 84.1% | — | #127–229 | ||
| 139 | o1-mini | openai | Sep 2024 | — | 74.2% | — | #185–761 |
Showing MMLU-Pro (Artificial Analysis) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.