gpt-5.1-high
64±2
62interval67
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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 82 | gpt-5.1-high | openai | Nov 2025 | $1.25 / $10 | 64.0 66.5Ranked 64.0 = (17 × 66.5 + 3 × 50) ÷ 20. 66.5 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 | 92 | 17/22 | #45–242 | 85 | 37 | 71 | 74 | — | 5 | — | 74 | 69 | 75 | 62 | 49 | 63 | 57 | 90 | — | — | — | 97 | 97 | 88 | 35 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model