GPT-5.3-Codex (Codex Harness)
62±1
60interval63
aiqbench · LLM benchmarks
62±1
60interval63
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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 109 | GPT-5.3-Codex (Codex Harness) | openai | Oct 2026 | $1.75 / $14 | 61.7 73.5Ranked 61.7 = (3 × 73.5 + 3 × 50) ÷ 6. 73.5 is the mean percentile over the 3 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 60–63 | 49 | 3/22 | #29–236 | — | 42 | — | — | — | — | — | — | — | — | — | — | — | — | 88 | — | — | — | — | — | 91 | — |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model