o3-2025-04-16
64±2
62interval66
aiqbench · LLM benchmarks
64±2
62interval66
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 | Interval | Swing | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | Add to compare | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | o3-2025-04-16 | openai | Apr 2025 | $2 / $8 | 64.5 67.4Ranked 64.5 = (15 × 67.4 + 3 × 50) ÷ 18. 67.4 is the mean percentile over the 15 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 62–66 | 81 | 15/22 | #79–318 | 75 | — | 53 | 19 | — | — | — | 62 | 63 | 55 | 67 | 42 | 59 | 55 | 100 | 93 | — | — | 93 | 91 | 85 | — |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model