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Llama 4 Scout benchmark results
6 results on 6 benchmarks from 3 sources.
Also listed as: llama-4-scout-17b-16e-instruct · Llama-4-Scout-17B-16E-Instruct · Llama-4-Scout-17B-16E-Instruct (FC)
All benchmark results
| Benchmarks | Score | Rank | Setting | Source type | Date |
|---|---|---|---|---|---|
| LMArena Text | 1322 | 258 | Overall, style control on; 29836 votes; 95% CI 1317–1326“llama-4-scout-17b-16e-instruct” | Official leaderboard | Oct 8, 2026 |
| LMArena Vision | 1127 | 119 | Overall, style control on; 6451 votes; 95% CI 1118–1137“llama-4-scout-17b-16e-instruct” | Official leaderboard | Oct 2, 2026 |
| GPQA Diamond | 51.8% | 200 | Epoch AI run, accuracy | Independent run | Apr 8, 2025 |
| AIME (OTIS Mock AIME 2024–2025) | 7.8% | 220 | Epoch AI run, OTIS Mock AIME 2024–2025 | Independent run | Apr 8, 2025 |
| MATH Level 5 | 62.3% | 51 | Epoch AI run, accuracy | Independent run | Apr 8, 2025 |
| BFCL v4 (function calling) | 28.1% | 72 | Overall accuracy; native function calling (FC)“Llama-4-Scout-17B-16E-Instruct (FC)” | Official leaderboard | Oct 17, 2026 |
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FAQ
Where do these Llama 4 Scout scores come from?
From Epoch AI Benchmarking Hub, Berkeley Function Calling Leaderboard (BFCL), and LMArena leaderboard dataset. Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.