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GPT-5.1 Codex mini
GPT-5.1 Codex mini

API OnlyChat & ReasoningtextimageUpdated November 13, 2025
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

GPT-5.1 Codex mini

📌 Model Overview

Coding-optimized GPT model for repository edits, reviews, and agentic software work

GPT-5.1 Codex mini is a Api Only model developed by OpenAI, released on 2025-11-13. It is designed primarily for Chat Reasoning workloads. Featuring a 400K tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window400K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Chat Reasoning
Deploymentapi-only
Modalitytext, image
Max OutputMax Output: 128K tokens
Native reasoning capabilityNative reasoning capability
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabOpenAI
Release Date2025-11-13
Model TypeApi Only
ParametersUndisclosed
Context Window400K tokens
LicenseProprietary
Model Familygpt-codex

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$0.22
1M output tokens$1.8
1M cache read tokens$0.022

📜 License & Usage

This model is governed by the Proprietary license. Please check official developer guidelines before commercial deployment.

Key Features

Max Output: 128K tokens

Feature 01

Native reasoning capability

Feature 02

Tool / function calling support

Feature 03

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Verified Sources

Tags

reasoningtool-callingstructured-output

Model Specs

api-only

Parameters

Undisclosed

Context Window

400K tokens

License

Proprietary

Deployment

api-only

Pricing

  • 1M input tokens$0.22
  • 1M output tokens$1.8
  • 1M cache read tokens$0.022

as of 2026-07-26

Lineage

Model Family

Part of the gpt-codex family

Curator Notes

Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.

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