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ui-tars-1.5-7b Cost Calculator - OpenRouter

Calculate the cost of using ui-tars-1.5-7b from OpenRouter for your AI applications

ui-tars-1.5-7b Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 2,048 tokens

Cost Breakdown

Input Cost$0.00010000
Output Cost$0.00020000
Total Cost$0.00030000

Pricing Details

Input: $0.0000001000 per token
Output: $0.0000002000 per token
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Model Specifications

Limits

Max Input Tokens131,072
Max Output Tokens2,048
Max Tokens2,048

About ui-tars-1.5-7b

ui-tars-1.5-7b 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 ui-tars-1.5-7b in your applications.

Pricing Information

Input Cost$0.10 per 1M tokens
Output Cost$0.20 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens2,048
Maximum Total Tokens2,048

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 2,048 tokens.

When should you use ui-tars-1.5-7b?

ui-tars-1.5-7b is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
When should you avoid ui-tars-1.5-7b?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does ui-tars-1.5-7b 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 ui-tars-1.5-7b pricing
  • ui-tars-1.5-7b is a general-purpose AI model provided by OpenRouter.
  • Input tokens are priced at $0.10 per 1M tokens.
  • Output tokens are priced at $0.20 per 1M tokens.
  • The model supports a maximum input capacity of 131,072 tokens.
  • Maximum output length is 2,048 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • OpenRouter offers ui-tars-1.5-7b 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.