Model Comparison
Llama 4 Scout
vs. Claude Opus 5.5 (Max, Default Fallback)
Comparing 2 AI models · 0 benchmarks · Meta, Anthropic
Recommended Pick
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 Opus 5.5 (Max, Default Fallback)
57.6 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 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.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 4 Scout
Meta
TTFT
—
Time
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tok/s
—
Tokens
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Cost
—
Claude Opus 5.5 (Max, Default Fallback)
Anthropic
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Me Llama 4 Scout | An Claude Opus 5.5 (Max, Default Fallback) |
|---|---|---|
| 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 | ||
| Organization | Meta | Anthropic |
| Release Date | Apr 5, 2025 | Sep 22, 2026 |
| Performance & Speed | ||
| Throughput | 81.2 tok/s | 98.2 tok/s |
| TTFT | 860ms | 726850ms |
| Latency | 860ms | 726850ms |
| Composite Indices | ||
| Value Score | 100.0 | 33.2 |
| Reasoning Score | 6.5 | 57.6 |
| Intelligence | 6.5 | 57.6 |
| 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 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
Llama 4 Scout
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Claude Opus 5.5 (Max, Default Fallback)
- Complex reasoning tasks
- Research & analysis