GPT-5 nano (High)
67.6%
no interval published
aiqbench · LLM benchmarks
67.6%
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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 72 | GPT-5 nano (High) | openai | Aug 2025 | $0.05 / $0.40 | 67.6% | — | #132–399 |
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.