GPT-5.2 (Xhigh)
87.4%
no interval published
aiqbench · LLM benchmarks
Benchmarks
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Released:
GPT-5 (High)
87.1%
no interval published
GPT-5.1 (High)
87.0%
no interval published
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-5.2 (Xhigh) | openai | Dec 2025 | $1.75 / $14 | 87.4% | — | #34–92 | ||
| 9 | GPT-5 (High) | openai | Aug 2025 | $1.25 / $10 | 87.1% | — | #64–149 | ||
| 10 | GPT-5.1 (High) | openai | Nov 2025 | $1.25 / $10 | 87.0% | — | #45–242 | ||
| 12 | GPT-5 Codex (High) | openai | — | — | 86.5% | — | #17–142 | ||
| 16 | GPT-5.1 Codex (High) | openai | Oct 2026 | $1.25 / $10 | 86.0% | — | #52–375 | ||
| 39 | GPT-5 mini (High) | openai | Aug 2025 | $0.25 / $2 | 83.7% | — | #126–343 | ||
| 58 | GPT-5.1 Codex mini (High) | openai | Oct 2026 | $0.25 / $2 | 82.0% | — | #54–425 | ||
| 110 | GPT-5 nano (High) | openai | Aug 2025 | $0.05 / $0.40 | 78.0% | — | #132–399 |
Showing MMLU-Pro (Artificial Analysis) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.