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GPT-4o mini
GPT-4o mini

API OnlyMultimodaltextimagepdfUpdated July 18, 2024
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

GPT-4o mini

📌 Model Overview

Small omni GPT for cheap multimodal assistance and production-scale traffic

GPT-4o mini is a Api Only model developed by OpenAI, released on 2024-07-18. It is designed primarily for Multimodal General workloads. Featuring a 128K tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window128K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Multimodal General
Deploymentapi-only
Modalitytext, image, pdf
Max OutputMax Output: 16K tokens
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabOpenAI
Release Date2024-07-18
Model TypeApi Only
ParametersUndisclosed
Context Window128K tokens
LicenseProprietary
Model Familygpt-mini

📊 Benchmarks & Performance

Specification Table
BenchmarkScoreSource
Aider Polyglot3.6%Independent Eval
SciCode22.9%Independent Eval

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$0.15
1M output tokens$0.6
1M cache read tokens$0.075

📜 License & Usage

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

Key Features

Max Output: 16K tokens

Feature 01

Tool / function calling support

Feature 02

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Verified Sources

Tags

tool-callingstructured-output

Model Specs

api-only

Parameters

Undisclosed

Context Window

128K tokens

License

Proprietary

Deployment

api-only

Pricing

  • 1M input tokens$0.15
  • 1M output tokens$0.6
  • 1M cache read tokens$0.075

as of 2026-07-26

Lineage

Model Family

Part of the gpt-mini family

Curator Notes

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

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