Model Comparison

Llama 4 Scout
vs. Claude Sonnet 5.5 (Max, Default Fallback)

Comparing 2 AI models · 0 benchmarks · Meta, Anthropic

Recommended Pick

Llama 4 Scout6 metric wins

Strongest on: Value, Input price, Output price

Best Value

Llama 4 Scout

100.0 value score

6.5 reasoning / $0.30/1M

Lowest Price

Llama 4 Scout

$0.18/1M input price

Best Reasoning

Claude Sonnet 5.5 (Max, Default Fallback)

56.0 reasoning score

Blends available reasoning benchmarks

Best for Coding

Llama 4 Scout

8.2 coding index

Differences That Matter

Best value

Llama 4 Scout has the strongest quality-to-price mix at 100.0 out of 100 value points.

Price gap

Llama 4 Scout is 11.1x cheaper on input tokens than Claude Sonnet 5.5 (Max, Default Fallback).

Speed gap

Claude Sonnet 5.5 (Max, Default Fallback) generates about 1.7x as many tokens per second as Llama 4 Scout.

Reasoning gap

Claude Sonnet 5.5 (Max, Default Fallback) leads Llama 4 Scout by 49.5 points on reasoning.

Top-pick rationale

Llama 4 Scout wins 6 measurable categories, including Value, Input price, Output price, Blended price.

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Llama 4 Scout

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Full Comparison

Metric	Top Pick Me Llama 4 Scout Meta	An Claude Sonnet 5.5 (Max, Default Fallback) Anthropic
Pricing per 1M tokens
Input Cost	$0.18/1M	$2.00/1M
Output Cost	$0.66/1M	$10.00/1M
Blended (3:1)	$0.30/1M	$4.00/1M
Specifications
Organization	Meta	Anthropic
Release Date	Apr 5, 2025	Sep 28, 2026
Performance & Speed
Throughput	81.2 tok/s	140.1 tok/s
TTFT	860ms	466370ms
Latency	860ms	466370ms
Composite Indices
Value Score	100.0	64.6
Reasoning Score	6.5	56.0
Intelligence	6.5	56.0
Coding	8.2	—

Key Takeaways

Llama 4 Scout offers the best value at $0.18/1M,making it ideal for high-volume applications and cost-conscious projects.

Claude Sonnet 5.5 (Max, Default Fallback) has the strongest reasoning profile with a 56.0 reasoning score,combining the available reasoning-heavy benchmarks.

Llama 4 Scout reaches a 8.2 coding index,making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.