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Meta AI Llama 4 Scout: API Pricing, Benchmarks & Token Calculator

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Building high-volume agentic workflows requires a model that masters budget-optimized scaling. Meta AI Meta: Llama 4 Scout is a leading choice for teams prioritizing self_hosted, with input costs starting at just $0.08 per 1M tokens. In 2026, this model has become a staple for Enterprise fine-tuning and local deployment, offering a massive 327,680-token context window without the premium price tag of frontier models. Use our calculator below to see how Meta AI Meta: Llama 4 Scout can lower your agentic workflows while maintaining high HumanEval coding performance.

  • Input Cost:$0.08 / 1M tokens
  • Output Cost:$0.30 / 1M tokens
  • Context Window:327,680 tokens
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Compare Meta: Llama 4 Scout with Other AI Models

Jump straight into a head-to-head pricing view with Meta: Llama 4 Scout first in the comparison slug, matching how the rest of LeadsCalc orders model battles.

Frequently Asked Questions about Meta: Llama 4 Scout

Short answers grounded in the catalog fields used by this calculator. Adjust assumptions in the tool above for your real traffic mix.

How does Meta: Llama 4 Scout performance compare to other models?

Based on our catalog benchmarks, Meta: Llama 4 Scout is evaluated across coding, logic, math, and instruction following. Use the performance radar chart above to see its exact strengths, or visit our comparison hub to see head-to-head win rates against models like GPT-4o and Claude 3.5 Sonnet.

What does Meta: Llama 4 Scout cost per million input and output tokens?

For Meta AI Meta: Llama 4 Scout, this calculator uses $0.08 per 1M input tokens and $0.30 per 1M output tokens as baseline API pricing. Rates can vary by region, commitment tier, and batch endpoints—use the calculator above to stress-test your workload.

What context window does Meta: Llama 4 Scout support?

Meta: Llama 4 Scout is listed with a 327,680-token context window for a single request in our catalog. Very long prompts still increase cost linearly with tokens, so pair window size with caching and retrieval when possible.

Does Meta: Llama 4 Scout support vision or multimodal inputs?

Meta: Llama 4 Scout is listed here without vision; confirm multimodal support with your provider if you need images or PDFs.

How can I compare Meta: Llama 4 Scout with GPT-4o, Claude 3.5 Sonnet, or DeepSeek V3?

Use the comparison links in the section above for side-by-side pricing and context, or open the full comparison hub at https://www.leadscalc.com/calculators/ai/compare to explore more model pairs.

Who hosts the Meta: Llama 4 Scout API?

Meta: Llama 4 Scout is offered under Meta AI in this catalog. Wire your keys and endpoints per their docs; this page focuses on token economics, not account setup.