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Models
gpt-5.4-pro-2026-03-05openai
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Context Length
1050K
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Max Output
128K
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Input Cost
$30.00/M
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Output Cost
$180.00/M
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Mode
Responses
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Max Input Tokens
1050K
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Max Tokens
128K
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Supported Endpoints
/v1/responses, /v1/batch
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Provider
OpenAI
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Tool Choice
Yes
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Response Schema
No
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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-5.4-pro-2026-03-05?
Overview
- gpt-5.4-pro-2026-03-05 is a responses model provided by OpenAI.
- This model offers an exceptional context window of 1050K tokens, making it ideal for processing extensive documents, long conversations, or large codebases.
Pricing
- Input processing costs $30.00 per million tokens.
- Output generation costs $180.00 per million tokens.
Output Capabilities
- The model can generate up to 128K tokens in a single response.
Availability
- Available through the following endpoints: /v1/responses, /v1/batch.
What capabilities does gpt-5.4-pro-2026-03-05 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.
- 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.
gpt-5.4-pro-2026-03-05 Pricing Overview
At $30.00 per 1M input tokens and $180.00 per 1M output tokens, gpt-5.4-pro-2026-03-05 ranks 48 out of 50 responses models by input cost. It is more expensive compared to the median of $4.13 for responses models, and is cheaper than 4% of models in this category.