Meta
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Introducing Llama 4Rank #356 across 566
Rank #207 across 222
Rank #78 across 371
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Higher bars mean stronger relative placement.
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 10.0 | #356 |
| Artificial Analysis Coding Index | coding | 8.2 | #207 |
| Artificial Analysis Math Index | math | 14.0 | #221 |
| MMLU-Pro | reasoning | 75.2% | #179 |
| reasoning |
| 58.7% |
| #343 |
| Humanity's Last Exam | reasoning | 4.3% | #432 |
| LiveCodeBench | coding | 29.9% | #222 |
| SciCode | coding, reasoning | 17.0% | #444 |
| MATH-500 | math | 84.4% | #98 |
| AIME | math | 28.3% | #88 |
| Output Speed | speed | 89.6 tok/s | #165 |
| Time to First Token | speed | 0.59s | #57 |
| Blended Price | cost | $0.287/M | #78 |
| Input Price | cost | $0.175/M | #73 |
| Output Price | cost | $0.625/M | #91 |
| Value Index | cost, overall | 34.8 | #105 |