Context Window
327,680
Tokens
Model Cost Profile
Developer: meta-llama
Pricing updated Mar 11, 2026
Meta: Llama 4 Scout, developed by meta-llama, offers an extensive context window of 327,680 tokens, making it suitable for complex tasks such as long-form content generation and detailed data analysis. Teams leveraging this API model will find that the input pricing is set at $0.08 per million tokens, while output costs are $0.30 per million tokens, allowing for scalable budgeting based on usage. This model is ideal for applications requiring in-depth contextual understanding, such as conversational agents and advanced research tools.
Context Window
327,680
Tokens
Input Price / 1M
$0.0800
Prompt tokens
Output Price / 1M
$0.3000
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0800 |
| Output (Completion) | $0.3000 |
Price History
Current Input / 1M
$0.0800
Current Output / 1M
$0.3000
Estimate monthly spend for Meta: Llama 4 Scout based on your workload.
Estimated Monthly Cost
$5.60
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Meta: Llama 4 Scout.
Meta: Llama 4 Scout input pricing is $0.0800 per 1M tokens based on the latest synced provider data.
Meta: Llama 4 Scout output pricing is $0.3000 per 1M tokens based on the latest synced provider data.
Meta: Llama 4 Scout supports a context window of 327,680 tokens.
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.