gpt-5.4-pro-2026-03-05
50.0%±2.9%
47.1%CI52.9%
aiqbench · LLM benchmarks
Benchmarks
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Filter by org:
Released:
gpt-5.4-2026-03-05
47.6%±2.9%
44.7%CI50.5%
gpt-5.4-mini-2026-03-17
28.3%±2.1%
26.2%CI30.3%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 3 | gpt-5.4-pro-2026-03-05 | OpenAI | Mar 2026 | $30 / $180 | 50.0% | 47.1%–52.9% | #20–171 | ||
| 4 | gpt-5.4-2026-03-05 | OpenAI | Sep 2026 | $2.50 / $15 | 47.6% | 44.7%–50.5% | #12–29 | ||
| 20 | gpt-5.4-mini-2026-03-17 | OpenAI | Oct 2026 | $0.75 / $4.50 | 28.3% | 26.2%–30.3% | #75–180 | ||
| 24 | gpt-5.4-nano-2026-03-17 | OpenAI | Oct 2026 | $0.20 / $1.25 | 25.9% | 23.3%–28.4% | #95–222 |
Showing FrontierMath exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.