Llama 4 Scout
39.5%
no interval published
aiqbench · LLM benchmarks
Benchmarks
- Sources
- 8
- Entries tracked
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- 28 min28 minutes ago
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- Arena · Text· 11 hours ago
- Arena · WebDev· 11 hours ago
- Arena · Vision· 11 hours ago
- Arena · Agent· 11 hours ago
- GPQA Diamond· 28 minutes ago
- SWE-bench· 28 minutes ago
- Terminal-Bench· 28 minutes ago
- ARC-AGI-2· 28 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 | |||||
|---|---|---|---|---|---|---|---|---|---|
| 196 | Llama 4 Scout | meta | Apr 2025 | $0.10 / $0.30 | 39.5% | — | — |
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.