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Llama-4-Scout-17B-16E-Instruct Cost Calculator - DeepInfra

Calculate the cost of using Llama-4-Scout-17B-16E-Instruct from DeepInfra for your AI applications

Llama-4-Scout-17B-16E-Instruct Cost Calculator

Mode: Chat

Max: 327,680 tokens

Max: 327,680 tokens

Cost Breakdown

Input Cost$0.00008000
Output Cost$0.00030000
Total Cost$0.00038000

Pricing Details

Input: $0.0000000800 per token
Output: $0.0000003000 per token
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Model Specifications

Limits

Max Input Tokens327,680
Max Output Tokens327,680
Max Tokens327,680

About Llama-4-Scout-17B-16E-Instruct

Llama-4-Scout-17B-16E-Instruct is a powerful chat AI model offered by DeepInfra. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using Llama-4-Scout-17B-16E-Instruct in your applications.

Pricing Information

Input Cost$0.08 per 1M tokens
Output Cost$0.30 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens327,680
Maximum Output Tokens327,680
Maximum Total Tokens327,680

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 327,680 input tokens. The maximum output length is 327,680 tokens.

When should you use Llama-4-Scout-17B-16E-Instruct?

Llama-4-Scout-17B-16E-Instruct is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
When should you avoid Llama-4-Scout-17B-16E-Instruct?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does Llama-4-Scout-17B-16E-Instruct compare to similar models?

Compared to other models in a similar category, this model is more cost-efficient on input tokens but relatively expensive on output tokens. It is better suited for retrieval-heavy or context-rich workflows than generation-heavy use cases.

Understanding Llama-4-Scout-17B-16E-Instruct pricing
  • Llama-4-Scout-17B-16E-Instruct is a general-purpose AI model provided by DeepInfra.
  • Input tokens are priced at $0.08 per 1M tokens.
  • Output tokens are priced at $0.30 per 1M tokens.
  • The model supports a maximum input capacity of 327,680 tokens.
  • Maximum output length is 327,680 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • DeepInfra offers Llama-4-Scout-17B-16E-Instruct for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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