codex-mini
codex-mini
Version: 2025-05-16
OpenAILast updated June 2025
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. Whether you're automating shell commands, editing scripts, or refactoring repositories, Codex-Min
Multipurpose
Multilingual
Multimodal

Key Capabilities

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. Whether you're automating shell commands, editing scripts, or refactoring repositories, codex-mini brings speed, precision, and scalability to your terminal. Why codex-mini? 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.

Model Variants

  • o4-mini: The most efficient reasoning model in the o model series, well suited for agentic solutions. Now generally available.

Key Capabilities

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. codex-mini is now available via the Azure OpenAI API and Codex CLI. 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.

Model provider

This model is provided through the Azure OpenAI Service.

Relevant documents

The following documents are applicable:

Content Filtering

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 .
Model Specifications
Context Length200000
LicenseCustom
Training DataMay 2024
Last UpdatedJune 2025
Input TypeText,Image
Output TypeText
PublisherOpenAI
Languages1 Language