Model Comparison
Claude Opus 4.6 vs Llama 4 ScoutWhich is better in 2026?
Claude Opus 4.6 significantly outperforms across most benchmarks. Llama 4 Scout is 74.1x cheaper per token.
Verdict: Claude Opus 4.6 vs Llama 4 Scout — which is better?
Claude Opus 4.6 (by Anthropic) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Claude Opus 4.6 outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks. Claude Opus 4.6 significantly outperforms across most benchmarks.
On price, Llama 4 Scout is roughly 74.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Opus 4.6 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Feb 2026
Choose Llama 4 Scout if…
- cost matters — it's about 74.1x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.6 outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.
Claude Opus 4.6 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.6 ($5.00/1M tokens) is 62.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Claude Opus 4.6 ($25.00/1M tokens) is 83.3x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Claude Opus 4.6 is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Claude Opus 4.6's 1,000,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Claude Opus 4.6 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude Opus 4.6 and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.6
Llama 4 Scout
License
Usage and distribution terms
Claude Opus 4.6 is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Claude Opus 4.6 was released on 2026-02-05, while Llama 4 Scout was released on 2025-04-05.
Claude Opus 4.6 is 10 months newer than Llama 4 Scout.
Feb 5, 2026
4 months ago
10mo newerApr 5, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.6 is available from Anthropic. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Claude Opus 4.6
Llama 4 Scout
Outputs Comparison
Key Takeaways
Claude Opus 4.6
View detailsAnthropic
Detailed Comparison
| Feature |
|---|
FAQ
Common questions about Claude Opus 4.6 vs Llama 4 Scout.