Llama 4 ScoutvsClaude Opus 4
Meta vs Anthropic — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Llama 4 Scout | Claude 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
Claude Opus 4 ranks higher in arena benchmarks (#1) indicating stronger overall performance.
Llama 4 Scout supports a larger context window (10M), allowing it to process longer documents in a single request.
Llama 4 Scout is open-source (free to self-host and fine-tune) while Claude Opus 4 is proprietary (API-only access).
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
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
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