Meta
availableShows if the model has enough results for an index.Llama 4 Scout
Llama 4 Scout is a non-reasoning model from Meta. 19 benchmarks count toward its score, in 7 categories.
IndexOverall score. 50 is the middle.28.0 ±4.2
CoverageShare of the index weight with results.95%
SpeedOutput tokens per second.24/s
Input / 1MUS dollars per 1M input tokens.$0.1
Output / 1MUS dollars per 1M output tokens.$0.3
ContextMaximum tokens in one request.1.31M
EloLMArena rating and rank.N/A
50 is the middle of the board. The range shows the doubt in the index.
CapabilitiesScore per category. 50 is the middle.
50 is the middleResults
19 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result on the index scale. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| MATH level 5 | Math | 62.3% | 29.3 | — | — | Epoch AI |
| Artificial Analysis GPQA Diamond | Knowledge | 58.7% | 28.7 | — | — | Artificial Analysis |
| Artificial Analysis MMMU-Pro | Multimodal | 52.9% | 31.7 | — | — | Artificial Analysis |
| GPQA diamond | Knowledge | 51.8% | 26.1 | — | — | Epoch AI |
| Artificial Analysis IFBench | Instruction | 39.5% | 29.2 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 27.7% | 27.4 | — | — | Artificial Analysis |
| Artificial Analysis SciCode | Coding | 21.3% | 22.4 | — | — | Artificial Analysis |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 15.5% | 10.0 | — | — | Victor Barres et al. |
| Artificial Analysis Omniscience Accuracy | Knowledge | 15.2% | 32.7 | — | — | Artificial Analysis |
| Artificial Analysis Coding Index | Coding | 8.2% | 24.7 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 8.1% | 32.5 | — | — | Artificial Analysis |
| OTIS Mock AIME 2024-2025 | Math | 7.8% | 16.0 | — | — | Epoch AI |
| Artificial Analysis Humanity's Last Exam | Knowledge | 3.8% | 28.7 | — | — | Artificial Analysis |
| Artificial Analysis Agentic Index | Agentic | 0.6% | 37.6 | — | — | Artificial Analysis |
| ARC-AGI-1 (semi-private) | Reasoning | 0.5% | 27.5 | — | — | ARC Prize Foundation |
| GDPval-AA normalized | Agentic | 0.0% | 35.6 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
| ARC-AGI-2 (semi-private) | Reasoning | 0.0% | 39.7 | — | — | ARC Prize Foundation |
| FrontierMath-2025-02-28-Private | Math | 0.0% | 30.6 | — | — | Epoch AI |
19 benchmarks count, from 19 of 19 results. A grey row does not count. Too few models took that benchmark.