UPDATES
Try Bifrost Enterprise free for 14 days.
Explore now

gemini-1.5-pro Cost Calculator - Vertex AI

Calculate the cost of using gemini-1.5-pro from Vertex AI for your AI applications

gemini-1.5-pro Cost Calculator

Mode: Chat

Max: 2,097,152 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.001250
Output Cost$0.005000
Image Cost$0.00032875
Total Cost$0.006579

Pricing Details

Input: $0.00000125 per token
Output: $0.00000500 per token
Input Image: $0.00032875 per image
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Book a Demo
or, Get started here

Model Specifications

Capabilities

✓Function Calling
✓Vision

Limits

Max Input Tokens2,097,152
Max Output Tokens8,192
Max Tokens8,192

About gemini-1.5-pro

gemini-1.5-pro 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-1.5-pro in your applications.

Pricing Information

Input Cost$1.25 per 1M tokens
Output Cost$5.00 per 1M tokens
Image Input Cost$0.0003 per image

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

Technical Specifications

Maximum Input Tokens2,097,152
Maximum Output Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 2,097,152 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓System Messages - Configure model behavior
✓Parallel Function Calling - Execute multiple functions simultaneously
✓Response Schema - Structured output formatting
When should you use gemini-1.5-pro?

gemini-1.5-pro is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
  • 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-1.5-pro?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
How does gemini-1.5-pro 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-1.5-pro pricing
  • gemini-1.5-pro is a general-purpose AI model provided by Vertex AI.
  • Input tokens are priced at $1.25 per 1M tokens.
  • Output tokens are priced at $5.00 per 1M tokens.
  • Image input is priced at $0.0003 per image.
  • The model supports a maximum input capacity of 2,097,152 tokens.
  • Maximum output length is 8,192 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-1.5-pro 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.

← Back to All ModelsView All Vertex AI Models