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Llama 4 ScoutvsClaude Opus 4

Meta vs Anthropic — Side-by-side model comparison

Llama 4 Scout leads 4/5 categories

Head-to-Head Comparison

MetricLlama 4 ScoutClaude Opus 4
Provider
Meta
Arena Rank
#12
#1
Context Window
10M
200K
Input Pricing
Free/1M tokens
$5.00/1M tokens
Output Pricing
Free/1M tokens
$25.00/1M tokens
Parameters
109B (17B active)
Undisclosed
Open Source
Yes
No
Best For
Long context, open source, multilingual
Complex reasoning, coding, agentic tasks
Release Date
Apr 5, 2025
May 22, 2025

Llama 4 Scout

Llama 4 Scout, developed by Meta AI, is a Mixture-of-Experts model designed for efficient deployment with strong performance across general reasoning, coding, and multilingual tasks. The model uses sparse expert routing to maintain high capability while reducing inference compute requirements. As part of Meta's Llama 4 family, Scout represents the efficiency-optimized variant, targeting developers who need capable AI at manageable computational costs. The model supports long context processing and demonstrates improved instruction following compared to Llama 3 series models. Free and open-source under Meta's license, it can be deployed on enterprise hardware without API costs. Llama 4 Scout continues Meta's commitment to open-source AI development, providing the community with a model that balances capability and deployment practicality for production applications at scale.

Claude Opus 4

Claude Opus 4 is Anthropic's most powerful AI model, holding the #1 position on the Chatbot Arena leaderboard. It represents a breakthrough in extended thinking and agentic capabilities, able to work autonomously on complex multi-step tasks for hours. With a 200K token context window, it excels at analyzing entire codebases, lengthy legal documents, and research papers in a single pass. The model demonstrates exceptional performance in coding (setting new benchmarks on SWE-bench), advanced reasoning, and nuanced writing tasks. Its agentic capabilities allow it to use tools, navigate computers, and execute multi-step workflows with minimal human oversight. Opus 4 is the preferred choice for enterprises requiring the highest quality output on mission-critical tasks where accuracy and depth matter more than speed or cost.

View Anthropic profile →

Key Differences: Llama 4 Scout vs Claude Opus 4

1

Claude Opus 4 ranks higher in arena benchmarks (#1) indicating stronger overall performance.

2

Llama 4 Scout supports a larger context window (10M), allowing it to process longer documents in a single request.

3

Llama 4 Scout is open-source (free to self-host and fine-tune) while Claude Opus 4 is proprietary (API-only access).

L

When to use Llama 4 Scout

  • +Budget is a concern and you need cost efficiency
  • +You need to process long documents (10M context)
  • +You need to self-host or fine-tune the model
  • +Your use case involves long context, open source, multilingual
View full Llama 4 Scout specs →
C

When to use Claude Opus 4

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves complex reasoning, coding, agentic tasks
View full Claude Opus 4 specs →

Cost Analysis

At current pricing, Llama 4 Scout is nullx more affordable than Claude Opus 4. For a typical enterprise workload processing 100M tokens per month:

Llama 4 Scout monthly cost

$0

100M tokens/mo (50/50 in/out)

Claude Opus 4 monthly cost

$1,500

100M tokens/mo (50/50 in/out)

The Verdict

Llama 4 Scout wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for long context, open source, multilingual, though Claude Opus 4 holds an edge in complex reasoning, coding, agentic tasks.

Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Llama 4 Scout or Claude Opus 4?
In our head-to-head comparison, Llama 4 Scout leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Llama 4 Scout excels at long context, open source, multilingual, while Claude Opus 4 is better suited for complex reasoning, coding, agentic tasks. The best choice depends on your specific requirements, budget, and use case.
How does Llama 4 Scout pricing compare to Claude Opus 4?
Llama 4 Scout charges Free per 1M input tokens and Free per 1M output tokens. Claude Opus 4 charges $5.00 per 1M input tokens and $25.00 per 1M output tokens. Llama 4 Scout is the more affordable option. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Llama 4 Scout and Claude Opus 4?
Llama 4 Scout supports a 10M token context window, while Claude Opus 4 supports 200K tokens. Llama 4 Scout can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Llama 4 Scout or Claude Opus 4 for free?
Llama 4 Scout is available for free (open-source). Claude Opus 4 is a paid API model starting at $5.00 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Llama 4 Scout or Claude Opus 4?
Llama 4 Scout holds arena rank #12, while Claude Opus 4 holds rank #1. Claude Opus 4 performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Llama 4 Scout or Claude Opus 4 better for coding?
Llama 4 Scout's primary strength is long context, open source, multilingual. Claude Opus 4 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.