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gpt-5.1-codex-mini Cost Calculator - OpenAI

Calculate the cost of using gpt-5.1-codex-mini from OpenAI for your AI applications

gpt-5.1-codex-mini Cost Calculator

Mode: Responses

Max: 272,000 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.00025000
Output Cost$0.002000
Total Cost$0.002250

Pricing Details

Input: $0.0000002500 per token
Output: $0.00000200 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens272,000
Max Output Tokens128,000
Max Tokens128,000

About gpt-5.1-codex-mini

gpt-5.1-codex-mini is a powerful responses AI model offered by OpenAI. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using gpt-5.1-codex-mini in your development applications.

Pricing Information

Input Cost$0.25 per 1M tokens
Output Cost$2.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens272,000
Maximum Output Tokens128,000
Maximum Total Tokens128,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 272,000 input tokens. The maximum output length is 128,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts
✓Parallel Function Calling - Execute multiple functions simultaneously
✓Response Schema - Structured output formatting
When should you use gpt-5.1-codex-mini?

gpt-5.1-codex-mini is best suited for the following scenarios:

  • Code generation and completion
  • Bug fixing and refactoring
  • Developer tooling and IDE assistants
  • 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
  • Complex problem-solving and multi-step reasoning tasks
  • Planning and strategic decision-making applications
When should you avoid gpt-5.1-codex-mini?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Non-technical content generation or general-purpose chat
  • Creative writing or marketing copy generation
How does gpt-5.1-codex-mini 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 gpt-5.1-codex-mini pricing
  • gpt-5.1-codex-mini is a coding and software development model provided by OpenAI.
  • Input tokens are priced at $0.25 per 1M tokens.
  • Output tokens are priced at $2.00 per 1M tokens.
  • The model supports a maximum input capacity of 272,000 tokens, capable of working with large codebases and complex software projects.
  • Maximum output length is 128,000 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 code snippets, API calls, and development tools.
  • Features advanced reasoning capabilities for complex problem-solving tasks.
  • Features prompt caching to optimize costs for repeated prompts.
  • OpenAI offers gpt-5.1-codex-mini for coding and software development workloads — code generation, code completion, debugging, and software development tasks.

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.

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