Meta
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Introducing Llama 4Rank #290 across 566
Rank #177 across 222
Rank #111 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 | 14.3 | #290 |
| Artificial Analysis Coding Index | coding | 16.3 | #177 |
| Artificial Analysis Math Index | math | 19.3 | #211 |
| MMLU-Pro | reasoning | 80.9% | #99 |
| reasoning |
| 67.1% |
| #280 |
| Humanity's Last Exam | reasoning | 4.8% | #377 |
| LiveCodeBench | coding | 39.7% | #185 |
| SciCode | coding, reasoning | 33.1% | #268 |
| MATH-500 | math | 88.9% | #78 |
| AIME | math | 39.0% | #72 |
| Output Speed | speed | 98.3 tok/s | #143 |
| Time to First Token | speed | 0.62s | #68 |
| Blended Price | cost | $0.475/M | #111 |
| Input Price | cost | $0.350/M | #143 |
| Output Price | cost | $0.850/M | #105 |
| Value Index | cost, overall | 30.1 | #116 |