gpt-5-nano-high
50±1
49interval52
aiqbench · LLM benchmarks
Benchmarks
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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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 399 | gpt-5-nano-high | openai | Aug 2025 | $0.05 / $0.40 | 50.5 50.6Ranked 50.5 = (13 × 50.6 + 3 × 50) ÷ 16. 50.6 is the mean percentile over the 13 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 49–52 | 84 | 13/22 | #132–399 | 45 | — | 31 | — | — | — | — | 51 | 57 | 42 | 6 | 26 | — | — | 54 | 76 | — | — | 60 | 90 | 78 | 42 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model