Llama 4 Scout
Meta · Released Apr 5, 2025
$0.08
Input price / MTok
#1 of 27$0.3
Output price / MTok
#2 of 2710M
Context window
#1 of 28109
Tokens / sec
#11 of 2157.2
GPQA Diamond
#19 of 1969.4
MMMU
#8 of 832.8
LiveCodeBench
#8 of 8Summary
Llama 4 Scout is a open-source language model from Meta, released on Apr 5, 2025.
At $0.08 input and $0.3 output per million tokens, it ranks #1 of 27 for input price, placing it the most affordable in this dataset.
Its context window of 10M tokens ranks #1 of 28 for context depth in this dataset.
It targets long-context, budget, vision workloads.
Throughput is measured at 109 tokens per second (ranked #11 of 21 for throughput).
10M token context; 17B active params in a 109B MoE, single H100 deployable.
Benchmarks
| Benchmark | Score | Max | % | Rank | Source |
|---|---|---|---|---|---|
| GPQA Diamond | 57.2 | 100 | 57.2% | #19/19 | Meta AI (self-reported on llama.com) |
| MMMU | 69.4 | 100 | 69.4% | #8/8 | Meta AI (self-reported on llama.com) |
| LiveCodeBench | 32.8 | 100 | 32.8% | #8/8 | Meta AI (self-reported on llama.com) |
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Speed source: https://artificialanalysis.ai/models/llama-4-scout