# Llama 4 Scout Review & Benchmarks (2026): Price, Context, Specs | Alher Tech

> Llama 4 Scout by Meta: benchmarks, pricing, context window, strengths and use cases. Data from official benchmark sources.

- Canonical page: https://alhertech.com/en/ai-comparison/llama-4-scout/
- Site: Alher Tech (custom software, AI agents and SEO engineering, https://alhertech.com/)
- Contact: https://alhertech.com/en/contact/

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Last updated: April 22, 2026

## Specs

- **Vendor**: Meta
- **Released**: April 5, 2025
- **Context window**: 10M tokens
- **Input**: $0.18 / M tokens
- **Output**: $0.6 / M tokens

## Benchmarks

- **mmlu**: 80.4
- **gpqa**: 49.1
- **humanEval**: 76.3
- **arenaElo**: 1278
- **sweBench**: 35
- **sweBenchPro**: 25
- **liveCodeBench**: 50
- **aiderPolyglot**: 45
- **terminalBench**: 20
- **mmluPro**: 65
- **hle**: 6
- **aime**: 50
- **math500**: 78
- **mmmu**: 60

## Strengths

- 10M-token context window: unbeaten for bulk docs
- Runs on a single H100 with heavy quantization
- Open weights for self-host

## Weaknesses

- Lower benchmark scores than Maverick
- Vision weaker than closed frontier models
- Quality drops significantly on deep reasoning

## Best for

- Needle-in-the-haystack retrieval on huge corpora
- Self-hosted long-doc analysis
- Cost-sensitive summarization

[Compare with other AI models](https://alhertech.com/en/ai-comparison/)