codex-mini
Version: 2025-05-16
Direct from Azure models
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Key capabilities
About this model
codex-mini is a fine-tuned variant of the o4-mini model, designed to deliver rapid, instruction-following performance for developers working in CLI workflows.Key model capabilities
a. Optimized for Speed: Delivers fast Q&A and code edits with minimal overhead. b. Instruction-Following: Retains Codex-1's strengths in understanding natural language prompts. c. CLI-Native: Interprets natural language and returns shell commands or code snippets. d. Long Context: Supports up to 200k-token inputs—ideal for full repo ingestion and refactoring. e. Lightweight and Scalable: Designed for cost-efficient deployment with a small capacity footprint. codex-mini supports features such as streaming, function calling, structured outputs, and image input. With these capabilities in mind, developers can leverage codex-mini for a range of fast, scalable code generation tasks in command-line environments.Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
For developers seeking fast, reliable code generation in terminal environments, this purpose-built model offers a powerful new tool in your AI toolkit for fast, low-latency code generation in command-line environments.Out of scope use cases
The provider has not supplied this information.Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
The provider has not supplied this information.Training cut-off date
The provider has not supplied this information.Training time
The provider has not supplied this information.Input formats
codex-mini supports features such as streaming, function calling, structured outputs, and image input.Output formats
The provider has not supplied this information.Supported languages
The provider has not supplied this information.Sample JSON response
The provider has not supplied this information.Model architecture
The provider has not supplied this information.Long context
Supports up to 200k-token inputs—ideal for full repo ingestion and refactoring.Optimizing model performance
The provider has not supplied this information.Additional assets
The provider has not supplied this information.Training disclosure
Training, testing and validation
The provider has not supplied this information.Distribution
Distribution channels
This model is provided through the Azure OpenAI Service. codex-mini is now available via the Azure OpenAI API and Codex CLI.More information
The following documents are applicable:- Overview of Responsible AI practices for Azure OpenAI models
- Transparency Note for Azure OpenAI Service
Responsible AI considerations
Safety techniques
Prompts and completions are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Additional classification models and configuration options are available when you deploy an Azure OpenAI model in production; learn more .Safety evaluations
The provider has not supplied this information.Known limitations
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Acceptable use policy
The provider has not supplied this information.Quality and performance evaluations
Source: OpenAI The provider has not supplied this information.Benchmarking methodology
Source: OpenAI The provider has not supplied this information.Public data summary
Source: OpenAI The provider has not supplied this information.Model Specifications
Context Length200000
LicenseCustom
Training DataMay 2024
Last UpdatedDecember 2025
Input TypeText,Image
Output TypeText
ProviderOpenAI
Languages1 Language