gpt-5.4-mini-high
63±2
60interval65
aiqbench · LLM benchmarks
63±2
60interval65
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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | gpt-5.4-mini-high | openai | Oct 2026 | $0.75 / $4.50 | 62.7 65.8Ranked 62.7 = (12 × 65.8 + 3 × 50) ÷ 15. 65.8 is the mean percentile over the 12 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 60–65 | 65 | 12/22 | #75–180 | 81 | 38 | 71 | 62 | — | — | — | 72 | 71 | 72 | 23 | 52 | — | — | 76 | — | — | — | — | — | 89 | 84 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model