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gpt-3.5-turbo Cost Calculator - OpenRouter

Calculate the cost of using gpt-3.5-turbo from OpenRouter for your AI applications

gpt-3.5-turbo Cost Calculator

Mode: Chat

Cost Breakdown

Input Cost$0.00050000
Output Cost$0.001500
Total Cost$0.002000

Pricing Details

Input: $0.0000005000 per token
Output: $0.00000150 per token
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Model Specifications

Limits

Max Tokens4,095

About gpt-3.5-turbo

gpt-3.5-turbo 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 gpt-3.5-turbo in your applications.

Pricing Information

Input Cost$0.50 per 1M tokens
Output Cost$1.50 per 1M tokens

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

When should you use gpt-3.5-turbo?

gpt-3.5-turbo is best suited for the following scenarios:

  • General-purpose chat and text generation workloads
When should you avoid gpt-3.5-turbo?
  • 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
  • Very large documents or long conversational histories
How does gpt-3.5-turbo 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 gpt-3.5-turbo pricing
  • gpt-3.5-turbo is a general-purpose AI model provided by OpenRouter.
  • Input tokens are priced at $0.50 per 1M tokens.
  • Output tokens are priced at $1.50 per 1M tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • OpenRouter offers gpt-3.5-turbo 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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gpt-3.5-turbo Cost Calculator - OpenRouter | Bifrost