GPT-5.1 (High)
87.0%
no interval published
aiqbench · LLM benchmarks
Benchmarks
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Released:
GPT-5.1 Codex (High)
86.0%
no interval published
GPT-5.1 Codex mini (High)
82.0%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 10 | GPT-5.1 (High) | openai | Nov 2025 | $1.25 / $10 | 87.0% | — | #45–242 | ||
| 16 | GPT-5.1 Codex (High) | openai | Oct 2026 | $1.25 / $10 | 86.0% | — | #52–375 | ||
| 58 | GPT-5.1 Codex mini (High) | openai | Oct 2026 | $0.25 / $2 | 82.0% | — | #54–425 |
Showing MMLU-Pro (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.