gpt-5.4-pro-2026-03-05
94.6%±1.6%
93.0%CI96.2%
aiqbench · LLM benchmarks
94.6%±1.6%
93.0%CI96.2%
93.3%±1.8%
91.5%CI95.1%
86.9%±2.4%
84.5%CI89.3%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 7 | gpt-5.4-pro-2026-03-05 | OpenAI | Mar 2026 | $30 / $180 | 94.6% | 93.0%–96.2% | #20–171 | ||
| 18 | gpt-5.4-2026-03-05 | OpenAI | Sep 2026 | $2.50 / $15 | 93.3% | 91.5%–95.1% | #12–29 | ||
| 63 | gpt-5.4-mini-2026-03-17 | OpenAI | Oct 2026 | $0.75 / $4.50 | 86.9% | 84.5%–89.3% | #75–180 | ||
| 91 | gpt-5.4-nano-2026-03-17 | OpenAI | Oct 2026 | $0.20 / $1.25 | 78.5% | 76.0%–80.9% | #95–222 |
Showing GPQA Diamond exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.