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gemini-pro-vision Cost Calculator - Vertex AI

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

gemini-pro-vision Cost Calculator

Mode: Chat

Max: 16,384 tokens

Max: 2,048 tokens

Cost Breakdown

Input Cost$0.00050000
Output Cost$0.001500
Image Cost$0.002500
Total Cost$0.004500

Pricing Details

Input: $0.0000005000 per token
Output: $0.00000150 per token
Input Image: $0.002500 per image
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Model Specifications

Capabilities

✓Function Calling
✓Vision

Limits

Max Input Tokens16,384
Max Output Tokens2,048
Max Tokens2,048

About gemini-pro-vision

gemini-pro-vision is a powerful chat AI model offered by Vertex AI. 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$0.50 per 1M tokens
Output Cost$1.50 per 1M tokens
Image Input Cost$0.0025 per image

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

Technical Specifications

Maximum Input Tokens16,384
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 16,384 input tokens. The maximum output length is 2,048 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Parallel Function Calling - Execute multiple functions simultaneously
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 Vertex AI.
  • Input tokens are priced at $0.50 per 1M tokens.
  • Output tokens are priced at $1.50 per 1M tokens.
  • Image input is priced at $0.0025 per image.
  • The model supports a maximum input capacity of 16,384 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.
  • The model includes vision capabilities for processing and analysing images.
  • Supports function calling for executing custom functions and tools.
  • Vertex AI 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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