Meta
Llama 4 Scout
Llama 4 Scout is a Meta Llama 4 family model, from Meta's open-weight generation focused on multimodal intelligence and broad developer deployment. This page shows how the benchmarked variant ranks against hosted frontier models and other open-weight systems across quality, speed, and price context.
Introducing Llama 4Operational Metrics
Output Speed109.2 tok/s
First Token0.52s
Blended Price$0.292/M
Model Metadata
Queryable facts extracted from the upstream model payload.
ReleaseApr 5, 2025
Context Windown/a
Modalitiesn/a
Strength: TTFT
Rank #53 across 293 models.
0.52s
Strength: Input $
Rank #74 across 325 models.
$0.170/M
Strength: Blended $
Rank #79 across 325 models.
$0.292/M
Watch Area: Coding
Rank #353 across 410 models.
6.7
Watch Area: Math
Rank #221 across 269 models.
14.0
Watch Area: SciCode
Rank #386 across 472 models.
17.0%
Strength Profile
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Benchmark Percentiles
Higher bars mean stronger relative placement.
All Benchmarks
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 13.5 | #353 |
| Artificial Analysis Coding Index | coding | 6.7 | #353 |
| Artificial Analysis Math Index | math | 14.0 | #221 |
| MMLU-Pro | reasoning | 75.2% | #175 |