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gemini-pro-vision Cost Calculator - OpenRouter

Calculate the cost of using gemini-pro-vision from OpenRouter for your AI applications

gemini-pro-vision Cost Calculator

Mode: Chat

Cost Breakdown

Input Cost$0.00012500
Output Cost$0.00037500
Image Cost$0.002500
Total Cost$0.003000

Pricing Details

Input: $0.0000001250 per token
Output: $0.0000003750 per token
Input Image: $0.002500 per image
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Model Specifications

Capabilities

✓Function Calling
✓Vision

Limits

Max Tokens45,875

About gemini-pro-vision

gemini-pro-vision 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 gemini-pro-vision in your applications.

Pricing Information

Input Cost$0.13 per 1M tokens
Output Cost$0.38 per 1M tokens
Image Input Cost$0.0025 per image

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

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
When should you use gemini-pro-vision?

gemini-pro-vision is best suited for the following scenarios:

  • Agentic systems with function or tool calling
  • Workflow automation and API orchestration
  • Multimodal applications requiring image or audio processing
  • Content analysis across multiple media types
When should you avoid gemini-pro-vision?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Very large documents or long conversational histories
How does gemini-pro-vision 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 gemini-pro-vision pricing
  • gemini-pro-vision is a general-purpose AI model provided by OpenRouter.
  • Input tokens are priced at $0.13 per 1M tokens.
  • Output tokens are priced at $0.38 per 1M tokens.
  • Image input is priced at $0.0025 per image.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • The model includes vision capabilities for processing and analysing images.
  • Supports function calling for executing custom functions and tools.
  • OpenRouter offers gemini-pro-vision 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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