Llama 4 Scout
75.2%
no interval published
aiqbench · LLM benchmarks
Benchmarks
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- GPQA Diamond· 6 minutes ago
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- ARC-AGI-2· 6 minutes ago
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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 | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 131 | Llama 4 Scout | meta | Apr 2025 | $0.10 / $0.30 | 75.2% | — | — |
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.