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Llama-4-Maverick-17B-128E-Instruct-FP8 Cost Calculator - DeepInfra

Calculate the cost of using Llama-4-Maverick-17B-128E-Instruct-FP8 from DeepInfra for your AI applications

Llama-4-Maverick-17B-128E-Instruct-FP8 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 1,048,576 tokens

Cost Breakdown

Input Cost$0.00015000
Output Cost$0.00060000
Total Cost$0.00075000

Pricing Details

Input: $0.0000001500 per token
Output: $0.0000006000 per token
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Model Specifications

Limits

Max Input Tokens1,048,576
Max Output Tokens1,048,576
Max Tokens1,048,576

About Llama-4-Maverick-17B-128E-Instruct-FP8

Llama-4-Maverick-17B-128E-Instruct-FP8 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-Maverick-17B-128E-Instruct-FP8 in your applications.

Pricing Information

Input Cost$0.15 per 1M tokens
Output Cost$0.60 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens1,048,576
Maximum Total Tokens1,048,576

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 1,048,576 tokens.

When should you use Llama-4-Maverick-17B-128E-Instruct-FP8?

Llama-4-Maverick-17B-128E-Instruct-FP8 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-Maverick-17B-128E-Instruct-FP8?
  • 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-Maverick-17B-128E-Instruct-FP8 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-Maverick-17B-128E-Instruct-FP8 pricing
  • Llama-4-Maverick-17B-128E-Instruct-FP8 is a general-purpose AI model provided by DeepInfra.
  • Input tokens are priced at $0.15 per 1M tokens.
  • Output tokens are priced at $0.60 per 1M tokens.
  • The model supports a maximum input capacity of 1,048,576 tokens.
  • Maximum output length is 1,048,576 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • DeepInfra offers Llama-4-Maverick-17B-128E-Instruct-FP8 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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