llama-4-scout-17b-16e-instruct
35±1
33interval37
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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 935 | llama-4-scout-17b-16e-instruct | meta | Apr 2025 | $0.10 / $0.30 | 35.5 30.1Ranked 35.5 = (8 × 30.1 + 3 × 50) ÷ 11. 30.1 is the mean percentile over the 8 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 33–37 | 62 | 8/22 | #212–935 | 40 | — | 27 | — | — | — | — | 36 | 23 | 3 | — | 11 | — | — | — | 37 | — | — | — | — | — | 65 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model