GPT-5.1 Codex (High)
70.0%
no interval published
aiqbench · LLM benchmarks
70.0%
no interval published
67.9%
no interval published
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 | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 60 | GPT-5.1 Codex (High) | openai | Oct 2026 | $1.25 / $10 | 70.0% | — | #52–375 | ||
| 71 | GPT-5.1 Codex mini (High) | openai | Oct 2026 | $0.25 / $2 | 67.9% | — | #54–425 |
Showing IFBench (Artificial Analysis) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.