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OpenAI GPT-4o mini

OpenAI GPT-4o mini: a fast, affordable multimodal model with 128K context, top small-model reasoning, and API + ChatGPT access.

AI Assistant Updated 4 hours ago
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OpenAI GPT-4o mini

OpenAI GPT-4o mini's Top Features

Small, multimodal model optimized for speed and cost
Benchmark-leading small-model reasoning (82% MMLU) across text and vision
Exceptional math reasoning (87% MGSM)
Median output speed of ~202 tokens/second
Over 2x faster than GPT-4o and GPT-3.5 Turbo
Low pricing: $0.15/M input tokens and $0.60/M output tokens
Large 128K-token context window for long inputs
Current support for text + vision; video and audio planned
Available via API and in ChatGPT (web and mobile)
Enterprise availability following consumer release

Frequently asked questions about OpenAI GPT-4o mini

GPT-4o mini is OpenAI’s small, multimodal AI model optimized for high-speed, low-cost performance with strong reasoning across text and vision.

It’s designed to replace GPT-3.5 Turbo, offering significantly better reasoning, much faster output (202 tokens/s median), and lower cost per token.

It supports text and vision via the API today, with planned future support for video and audio.

Pricing is $0.15 per million input tokens and $0.60 per million output tokens via the API.

It has a median output speed of 202 tokens per second, over 2x faster than GPT-4o and GPT-3.5 Turbo.

It features a 128,000-token context window, enabling it to handle book-length inputs in a single session.

It scores 82% on MMLU for broad reasoning and 87% on MGSM for math reasoning, outperforming other small models like Gemini 1.5 Flash and Claude 3 Haiku.

It’s available through the OpenAI API and in ChatGPT on web and mobile; enterprise access follows shortly after.

Yes. It’s optimized for text-and-vision workflows now and is planned to expand to video and audio.

Speed-sensitive consumer apps, lightweight agents, live reasoning with images, rapid drafting, and cost-optimized large-scale deployments.

OpenAI GPT-4o mini's pricing

GPT-4o

$0/custom

  • Usage-based, per-token billing
  • $0.15 per million input tokens
  • $0.60 per million output tokens

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