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gemini-2.5-pro-preview-tts Cost Calculator - Vertex AI

Calculate the cost of using gemini-2.5-pro-preview-tts from Vertex AI for your AI applications

gemini-2.5-pro-preview-tts Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 65,535 tokens

Cost Breakdown

Input Cost$0.001250
Output Cost$0.010000
Total Cost$0.011250

Pricing Details

Input: $0.00000125 per token
Output: $0.00001000 per token
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Model Specifications

Capabilities

Function Calling
Vision
Web Search

Limits

Max Input Tokens1,048,576
Max Output Tokens65,535
Max Tokens65,535

About gemini-2.5-pro-preview-tts

gemini-2.5-pro-preview-tts 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-2.5-pro-preview-tts in your applications.

Pricing Information

Input Cost$1.25 per 1M tokens
Output Cost$10.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens65,535
Maximum Total Tokens65,535

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 65,535 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Web Search - Access real-time web information
Prompt Caching - Optimize repeated prompts
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting
When should you use gemini-2.5-pro-preview-tts?

gemini-2.5-pro-preview-tts is best suited for the following scenarios:

  • Text-to-speech (TTS) voice assistants and narration
  • IVR systems and customer support voice responses
  • Generating spoken audio from short scripts or prompts
When should you avoid gemini-2.5-pro-preview-tts?
  • General-purpose chatbots or long-form text generation
  • Document RAG pipelines (use an embedding or chat model instead)
  • Complex reasoning or tool-heavy agent workflows
How does gemini-2.5-pro-preview-tts compare to similar models?

This is a specialized text-to-speech model. When comparing similar options, focus on voice quality, latency, supported languages/voices, and how pricing is split between prompt tokens and audio duration (seconds). It is typically a better fit for voice UX than general chat models.

Understanding gemini-2.5-pro-preview-tts pricing
  • gemini-2.5-pro-preview-tts is a text-to-speech (TTS) model provided by Vertex AI.
  • Input tokens are priced at $1.25 per 1M tokens.
  • Output tokens are priced at $10.00 per 1M tokens.
  • The model supports a maximum input capacity of 1,048,576 tokens.
  • Maximum output length is 65,535 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.
  • Includes real-time web search capabilities for accessing current information.
  • Features prompt caching to optimize costs for repeated prompts.
  • Vertex AI offers gemini-2.5-pro-preview-tts for text-to-speech (TTS) workloads — voice assistants, narration, and audio response generation.

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.