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Llama-Guard-4-12B Cost Calculator - DeepInfra

Calculate the cost of using Llama-Guard-4-12B from DeepInfra for your AI applications

Llama-Guard-4-12B Cost Calculator

Mode: Chat

Max: 163,840 tokens

Max: 163,840 tokens

Cost Breakdown

Input Cost$0.00018000
Output Cost$0.00018000
Total Cost$0.00036000

Pricing Details

Input: $0.0000001800 per token
Output: $0.0000001800 per token
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Model Specifications

Limits

Max Input Tokens163,840
Max Output Tokens163,840
Max Tokens163,840

About Llama-Guard-4-12B

Llama-Guard-4-12B 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-Guard-4-12B in your applications.

Pricing Information

Input Cost$0.18 per 1M tokens
Output Cost$0.18 per 1M tokens

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

Technical Specifications

Maximum Input Tokens163,840
Maximum Output Tokens163,840
Maximum Total Tokens163,840

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 163,840 input tokens. The maximum output length is 163,840 tokens.

When should you use Llama-Guard-4-12B?

Llama-Guard-4-12B is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
When should you avoid Llama-Guard-4-12B?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does Llama-Guard-4-12B compare to similar models?

This model supports a larger context window than many alternatives, making it suitable for long-form inputs and memory-intensive applications.

Understanding Llama-Guard-4-12B pricing
  • Llama-Guard-4-12B is a general-purpose AI model provided by DeepInfra.
  • Input tokens are priced at $0.18 per 1M tokens.
  • Output tokens are priced at $0.18 per 1M tokens.
  • The model supports a maximum input capacity of 163,840 tokens.
  • Maximum output length is 163,840 tokens.
  • For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
  • DeepInfra offers Llama-Guard-4-12B 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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