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Llama 4 Scout

An open-source model designed for massive-scale data processing with a 10 million token context window.

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Our editorial assessment, based on the public sources listed below. Last reviewed .

Overall rank
#80
Tier
B
Score
59.5
Main category
Overall

Strengths

  • Very large 10 million token context window.
  • Open-source, allowing for self-hosting and fine-tuning.
  • Strong for long-context data processing tasks.

Considerations

  • Performance on reasoning benchmarks may lag behind top proprietary models.
  • Requires significant infrastructure to self-host and operate effectively.

Price

Open Source (Free to use, self-hosted)

Shown for reference — price is not part of the score.

Score breakdown

Performance
58.0
55% of score
Reputation
66.0
35% of score
Recency
45.0
10% of score

The overall score combines these sub-scores using the weights shown. How we score →

Verification status

Each field carries its own re-verification date. Amber means older than 90 days — treat those figures as stale until re-checked.

Pricing
Benchmark
Reputation
Feature list

Checked against the sources listed below.

Sources

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