GPT-5.1-Codex
67±0
66interval68
aiqbench · LLM benchmarks
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GPT-5.1-Codex-Mini
61±0
60interval62
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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | GPT-5.1-Codex | openai | Oct 2026 | $1.25 / $10 | 67.1 77.4Ranked 67.1 = (5 × 77.4 + 3 × 50) ÷ 8. 77.4 is the mean percentile over the 5 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 66–68 | 75 | 5/22 | #52–375 | — | 21 | — | — | — | — | — | — | — | — | — | — | — | — | 95 | — | — | — | 94 | 95 | 82 | — | ||
| 129 | GPT-5.1-Codex-Mini | openai | Oct 2026 | $0.25 / $2 | 60.9 67.4Ranked 60.9 = (5 × 67.4 + 3 × 50) ÷ 8. 67.4 is the mean percentile over the 5 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 60–62 | 82 | 5/22 | #54–425 | — | 12 | — | — | — | — | — | — | — | — | — | — | — | — | 74 | — | — | — | 79 | 94 | 79 | — |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model