gpt-5.5-pre-release
94.0%±1.5%
92.5%CI95.5%
aiqbench · LLM benchmarks
94.0%±1.5%
92.5%CI95.5%
93.9%±1.6%
92.3%CI95.5%
90.7%±1.8%
88.9%CI92.4%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 11 | gpt-5.5-pre-release | OpenAI | — | — | 94.0% | 92.5%–95.5% | #22–36 | ||
| 13 | gpt-5.5-pro-pre-release | OpenAI | — | — | 93.9% | 92.3%–95.5% | #23–60 | ||
| 36 | gpt-5.5 | OpenAI | Sep 2026 | $5 / $30 | 90.7% | 88.9%–92.4% | #9–34 | ||
| 81 | gpt-5.5-instant | OpenAI | Sep 2026 | — | 82.5% | 80.3%–84.8% | #52–114 |
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.