gpt-5.2-high
67±2
64interval69
aiqbench · LLM benchmarks
Benchmarks
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Released:
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 | Interval | Swing | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | Add to compare | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 60 | gpt-5.2-high | openai | Dec 2025 | $1.75 / $14 | 66.7 69.5Ranked 66.7 = (18 × 69.5 + 3 × 50) ÷ 21. 69.5 is the mean percentile over the 18 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 64–69 | 88 | 18/22 | #34–93 | 77 | 44 | 65 | 54 | — | 11 | — | 88 | 83 | 91 | 40 | 62 | 72 | 41 | 91 | 84 | — | — | 98 | 99 | 91 | 60 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model