Model Comparison

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

Comparing 2 AI models · 0 benchmarks · Meta, Anthropic

Recommended Pick

Meta logoLlama 4 Scout6 metric wins

Strongest on: Value, Input price, Output price

Best Value

Meta logo

Llama 4 Scout

100.0 value score

6.5 reasoning / $0.30/1M

Lowest Price

Meta logo

Llama 4 Scout

$0.18/1M input price

Best Reasoning

Anthropic logo

Claude Opus 5.5 (Max, Default Fallback)

57.6 reasoning score

Blends available reasoning benchmarks

Best for Coding

Meta logo

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 22.2x cheaper on input tokens than Claude Opus 5.5 (Max, Default Fallback).

Speed gap

Claude Opus 5.5 (Max, Default Fallback) generates about 1.2x as many tokens per second as Llama 4 Scout.

Reasoning gap

Claude Opus 5.5 (Max, Default Fallback) leads Llama 4 Scout by 51.1 points on reasoning.

Top-pick rationale

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

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

10 comparisons left in 24h
Meta logo

Llama 4 Scout

Meta

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Anthropic logo

Claude Opus 5.5 (Max, Default Fallback)

Anthropic

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Which answer was more useful?

Secure AI Chat made in Europe

Use open-weight models like DeepSeek, Qwen and Kimi in one app.

EU-hosted open models, one API

Servers in Germany & Finland. Operated by a German company under the GDPR, DPA available, ISO 27001-certified data centres.

Full Comparison

Metric
Top Pick
Meta logoLlama 4 Scout
Meta
Anthropic logoClaude Opus 5.5 (Max, Default Fallback)
Anthropic
Pricing per 1M tokens
Input Cost$0.18/1M$4.00/1M
Output Cost$0.66/1M$20.00/1M
Blended (3:1)$0.30/1M$8.00/1M
Specifications
OrganizationMetaAnthropic
Release DateApr 5, 2025Sep 22, 2026
Performance & Speed
Throughput81.2 tok/s98.2 tok/s
TTFT860ms726850ms
Latency860ms726850ms
Composite Indices
Value Score100.033.2
Reasoning Score6.557.6
Intelligence6.557.6
Coding8.2—

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 Opus 5.5 (Max, Default Fallback) has the strongest reasoning profile with a 57.6 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.

When to Choose Each Model

Meta logo

Llama 4 Scout

  • Cost-sensitive applications
  • High-volume processing
  • Code generation
  • Software development
Anthropic logo

Claude Opus 5.5 (Max, Default Fallback)

  • Complex reasoning tasks
  • Research & analysis