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[ MODEL COMPARISON ]

Compare gpt-5-pro-2025-10-06 with other models

Select another model to compare pricing, limits, and capabilities with gpt-5-pro-2025-10-06.

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Models
OpenAI logogpt-5-pro-2025-10-06
openai
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Context Length
128K
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Max Output
272K
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Input Cost
$15.00/M
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Output Cost
$120.00/M
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Mode
Responses
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Max Input Tokens
128K
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Max Tokens
272K
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Supported Endpoints
/v1/batch, /v1/responses
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Provider
OpenAI
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Tool Choice
Yes
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Response Schema
Yes
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Parallel Function Calling
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 gpt-5-pro-2025-10-06?

Overview

  • gpt-5-pro-2025-10-06 is a responses model provided by OpenAI.
  • With a context window of 128K tokens, this model can handle substantial inputs such as detailed documents or extended conversation histories.

Pricing

  • Input processing costs $15.00 per million tokens.
  • Output generation costs $120.00 per million tokens.

Output Capabilities

  • The model can generate up to 272K tokens in a single response.

Availability

  • Available through the following endpoints: /v1/batch, /v1/responses.
What capabilities does gpt-5-pro-2025-10-06 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.
  • Features advanced reasoning capabilities for complex problem-solving and multi-step logical tasks.
  • 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.
  • Enables parallel function calling to execute multiple operations simultaneously for improved efficiency.
  • Implements prompt caching to reduce costs and latency for repeated or similar queries.
  • Supports system messages for customizing model behavior and setting operational parameters.