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[ MODEL COMPARISON ]

Compare gemini-2.5-pro-preview-tts with other models

Select another model to compare pricing, limits, and capabilities with gemini-2.5-pro-preview-tts.

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Models
Google Gemini logogemini-2.5-pro-preview-tts
gemini
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Context Length
1049K
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Max Output
66K
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Input Cost
$1.25/M
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Output Cost
$10.00/M
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Mode
Chat
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Max Input Tokens
1049K
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Max Tokens
66K
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Provider
Google Gemini
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Tool Choice
Yes
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Response Schema
Yes
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Prompt Caching
Yes
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System Messages
Yes
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Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about gemini-2.5-pro-preview-tts?

Overview

  • gemini-2.5-pro-preview-tts is a chat model provided by Google Gemini.
  • This model offers an exceptional context window of 1049K tokens, making it ideal for processing extensive documents, long conversations, or large codebases.

Pricing

  • Input processing costs $1.25 per million tokens.
  • Output generation costs $10.00 per million tokens.

Output Capabilities

  • The model can generate up to 66K tokens in a single response.
What capabilities does gemini-2.5-pro-preview-tts support?
  • Supports function calling, enabling integration with external tools and APIs for extended functionality.
  • Includes vision capabilities to process and analyze images alongside text inputs.
  • Provides web search integration for accessing real-time information and current data.
  • Allows explicit tool selection, giving developers fine-grained control over function execution.
  • Supports structured response schemas for consistent, predictable output formatting.
  • Implements prompt caching to reduce costs and latency for repeated or similar queries.
  • Supports system messages for customizing model behavior and setting operational parameters.

gemini-2.5-pro-preview-tts Pricing Overview

At $1.25 per 1M input tokens and $10.00 per 1M output tokens, gemini-2.5-pro-preview-tts ranks 1547 out of 2182 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 28% of models in this category.