gpt-5.5-pre-release
100.0%±0.0%
100.0%CI100.0%
aiqbench · LLM benchmarks
Benchmarks
- Sources
- 8
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- 22,310
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- 5 min5 minutes ago
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Filter by org:
Released:
gpt-5.5-pro-pre-release
100.0%±0.0%
100.0%CI100.0%
gpt-5.6-sol
100.0%±0.0%
100.0%CI100.0%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 6 | gpt-5.5-pre-release | OpenAI | — | — | 100.0% | 100.0%–100.0% | #22–36 | ||
| 7 | gpt-5.5-pro-pre-release | OpenAI | — | — | 100.0% | 100.0%–100.0% | #23–60 | ||
| 8 | gpt-5.6-sol | OpenAI | Sep 2026 | $4 / $20 | 100.0% | 100.0%–100.0% | #6–25 | ||
| 13 | gpt-5.6-terra | OpenAI | Sep 2026 | $2 / $12 | 99.7% | 99.4%–100.0% | #13–59 | ||
| 25 | gpt-5.6-luna | OpenAI | Sep 2026 | $0.20 / $1.20 | 98.3% | 97.2%–99.5% | #30–146 | ||
| 30 | gpt-5.4-2026-03-05 | OpenAI | Sep 2026 | $2.50 / $15 | 97.8% | 95.6%–100.0% | #12–29 | ||
| 35 | gpt-5.2-2025-12-11 | OpenAI | Dec 2025 | $1.75 / $14 | 96.1% | 93.5%–98.7% | #34–92 | ||
| 54 | gpt-5-2025-08-07 | OpenAI | Aug 2025 | $1.25 / $10 | 91.4% | 87.7%–95.0% | #64–149 | ||
| 60 | gpt-5.4-mini-2026-03-17 | OpenAI | Oct 2026 | $0.75 / $4.50 | 88.9% | 84.2%–93.6% | #75–180 | ||
| 64 | gpt-5.1-2025-11-13 | OpenAI | Nov 2025 | $1.25 / $10 | 88.6% | 84.6%–92.7% | #45–242 | ||
| 66 | gpt-5.4-nano-2026-03-17 | OpenAI | Oct 2026 | $0.20 / $1.25 | 87.8% | 83.8%–91.7% | #95–222 | ||
| 67 | gpt-5-mini-2025-08-07 | OpenAI | Aug 2025 | $0.25 / $2 | 86.7% | 82.4%–91.0% | #126–343 | ||
| 76 | gpt-5.5 | OpenAI | Sep 2026 | $5 / $30 | 84.4% | 79.0%–89.9% | #9–34 | ||
| 86 | gpt-5-nano-2025-08-07 | OpenAI | Aug 2025 | $0.05 / $0.40 | 81.1% | 76.5%–85.7% | #132–399 | ||
| 103 | gpt-5.5-instant | OpenAI | Sep 2026 | — | 68.1% | 61.8%–74.3% | #52–114 |
Showing AIME (math) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.