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l3.1-70b-hanami-x1 Cost Calculator - OpenRouter

Calculate the cost of using l3.1-70b-hanami-x1 from OpenRouter for your AI applications

l3.1-70b-hanami-x1 Cost Calculator

Mode: Chat

Max: 16,000 tokens

Cost Breakdown

Input Cost$0.003000
Output Cost$0.003000
Total Cost$0.006000

Pricing Details

Input: $0.00000300 per token
Output: $0.00000300 per token
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Model Specifications

Limits

Max Input Tokens16,000
Max Tokens16,000

About l3.1-70b-hanami-x1

l3.1-70b-hanami-x1 is a powerful chat AI model offered by OpenRouter. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using l3.1-70b-hanami-x1 in your applications.

Pricing Information

Input Cost$3.00 per 1M tokens
Output Cost$3.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens16,000
Maximum Total Tokens16,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 16,000 input tokens.

When should you use l3.1-70b-hanami-x1?

l3.1-70b-hanami-x1 is best suited for the following scenarios:

  • General-purpose chat and text generation workloads
When should you avoid l3.1-70b-hanami-x1?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
How does l3.1-70b-hanami-x1 compare to similar models?

This model sits in the middle of its category in terms of pricing and capabilities, making it a balanced option for general workloads.

Understanding l3.1-70b-hanami-x1 pricing
  • l3.1-70b-hanami-x1 is a general-purpose AI model provided by OpenRouter.
  • Input tokens are priced at $3.00 per 1M tokens.
  • Output tokens are priced at $3.00 per 1M tokens.
  • The model supports a maximum input capacity of 16,000 tokens.
  • For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
  • OpenRouter offers l3.1-70b-hanami-x1 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.