gpt-5-pro-2025-10-06
64±0
62interval64
aiqbench · LLM benchmarks
Benchmarks
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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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 88 | gpt-5-pro-2025-10-06 | OpenAI | Oct 2025 | $15 / $120 | 63.5 73.7Ranked 63.5 = (4 × 73.7 + 3 × 50) ÷ 7. 73.7 is the mean percentile over the 4 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 62–64 | 42 | 4/22 | #88–166 | — | — | — | — | — | — | — | — | — | — | — | 51 | 76 | 76 | 92 | — | — | — | — | — | — | — |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model