gemma-4-31b-it
50±1
48interval51
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 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 425 | gemma-4-31b-it | Google DeepMind | Mar 2026 | $0.20 / $0.40 | 49.6 49.3Ranked 49.6 = (5 × 49.3 + 3 × 50) ÷ 8. 49.3 is the mean percentile over the 5 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 48–51 | 64 | 5/22 | #187–425 | — | — | — | — | — | — | — | 56 | 55 | — | 4 | — | — | — | 65 | — | — | — | — | — | — | 68 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model