LLM Reference
OpenAI API

Using GPT-5.1 Codex Mini on OpenAI API

Implementation guide · GPT-5.1 · OpenAI

Serverless

OpenAI API exposes GPT-5.1 Codex Mini through model ID gpt-5.1-codex-mini. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-04. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call gpt-5.1-codex-mini — see the documentation for request format.
  3. 3
    You'll be billed $0.25/1M input, $2.00/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
gpt-5.1-codex-mini

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="gpt-5.1-codex-mini",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Input tokens$0.25
Output tokens$2.00

Capabilities

VisionMultimodalReasoningJSON / Tool use

About GPT-5.1 Codex Mini

GPT-5.1 Codex Mini is a smaller, faster, and more cost-efficient agentic coding model in the GPT-5.1 Codex lineup. Delivers approximately 4x more usage within ChatGPT subscriptions compared to GPT-5.1 Codex Max at a slight capability tradeoff. Priced at $0.25 per 1M input tokens and $2 per 1M output tokens via API. Available in the Codex CLI and IDE extension, where it is offered automatically when users approach their usage limit.

Model Specs

Released2025-11-13
Context400k
ArchitectureDecoder Only
Knowledge cutoff2024-09

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States