gpt-5-high
65±2
62interval67
aiqbench · LLM benchmarks
Benchmarks
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Filter by org:
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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 72 | gpt-5-high | openai | Aug 2025 | $1.25 / $10 | 65.3 68.0Ranked 65.3 = (17 × 68.0 + 3 × 50) ÷ 20. 68.0 is the mean percentile over the 17 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 62–67 | 86 | 17/22 | #64–149 | 77 | 45 | 51 | 31 | — | — | — | 71 | 74 | 78 | 68 | 44 | 70 | 63 | 99 | — | 92 | — | 97 | 95 | 88 | 13 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model