Llama 4 Scout vs Claude Sonnet 4.6Benchmark Comparison 2026

Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.

Overall winner (2026)

Llama 4 Scout

4 of 7 criteria won

Meta

Llama 4 Scout

Winner

Intelligence Index

13.5

Coding Index

6.7

4 criteria won

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Anthropic

Claude Sonnet 4.6

Intelligence Index

44.4

Coding Index

46.4

3 criteria won

View full profile

Detailed Comparison

CritérioLlama 4 ScoutClaude Sonnet 4.6
Chatbot Arena ELO
Intelligence Index (AA)13.544.4
Coding Index (AA)6.746.4
GPQA Diamond59.0%80.0%
Input price ($/1M tok)$0.17$3.75
Output price ($/1M tok)$0.66$15.00
Context window10.0M tokens1.0M tokens
Speed (tokens/s)116 tok/s54 tok/s

✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly

Technical Specifications

Llama 4 Scout

Company
Meta
Context window
10.0M tokens
Input ($/1M tok)
$0.17
Output ($/1M tok)
$0.66
Speed
116 tok/s
Release
Apr 2025
Multimodal
Yes
Open Source
Yes
Official website
Visit

Claude Sonnet 4.6

Company
Anthropic
Context window
1.0M tokens
Input ($/1M tok)
$3.75
Output ($/1M tok)
$15.00
Speed
54 tok/s
Release
Feb 2026
Multimodal
Yes
Open Source
No
Official website
Visit

When to use Llama 4 Scout vs Claude Sonnet 4.6?

Choosing between Llama 4 Scout and Claude Sonnet 4.6 depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.

Use Llama 4 Scout when:

Meta · Multimodal · Open Source

  • High-volume token projects — at $0.17/1M input tokens, the cost per call is low enough for production use at scale
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Self-hosted projects with privacy requirements — ideal for sensitive data that cannot leave your own infrastructure
  • Long document analysis — 10.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
View full Llama 4 Scout profile

Use Claude Sonnet 4.6 when:

Anthropic · Multimodal

  • Complex reasoning, math and advanced programming — reasoning models are optimized for problems requiring multiple logical steps
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
  • API integration in SaaS applications — direct API access with documented SLA
View full Claude Sonnet 4.6 profile
SWEN Verdict: Llama 4 Scout wins in more objective criteria in this comparison (4 vs 3). For most use cases, Llama 4 Scout offers better aggregate performance — but Claude Sonnet 4.6 may be preferable if your project prioritizes complex reasoning, math and advanced programming.

Frequently Asked Questions

Llama 4 Scout or Claude Sonnet 4.6: which is better?

Llama 4 Scout wins in 4 of 7 criteria analyzed. Check the full table to choose based on your use case.

Where does this benchmark data come from?

Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.

What is the Intelligence Index?

The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.

Is Llama 4 Scout cheaper than Claude Sonnet 4.6?

Yes. Llama 4 Scout costs $0.17/1M input tokens, while Claude Sonnet 4.6 costs $3.75/1M tokens — 2106% more expensive. For high-volume projects, Llama 4 Scout represents significant savings. Total cost also depends on output pricing and your application's usage pattern.

Llama 4 Scout or Claude Sonnet 4.6: which has a larger context window?

Llama 4 Scout has the larger context window: 10.0M tokens vs 1.0M tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.

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