Announcing GPT-4o Mini: OpenAI’s Most Cost-Efficient Small Model

OpenAI is committed to making intelligence as broadly accessible as possible. Today, we’re excited to introduce GPT-4o mini, our most cost-efficient small model yet.

With GPT-4o mini, you can significantly expand the range of applications built with AI, thanks to its affordability and efficiency. It scores 82% on MMLU and outperforms GPT-41 on chat preferences in the LMSYS leaderboard. At just 15 cents per million input tokens and 60 cents per million output tokens, GPT-4o mini is an order of magnitude more affordable than previous frontier models and over 60% cheaper than GPT-3.5 Turbo.

This model is perfect for enabling a broad range of tasks with low cost and latency, such as chaining or parallelizing multiple model calls, passing a large volume of context to the model, or interacting with customers through fast, real-time text responses. Today, GPT-4o mini supports text and vision in the API, with future support for text, image, video, and audio inputs and outputs. It has a context window of 128K tokens, supports up to 16K output tokens per request, and has knowledge up to October 2023. Thanks to the improved tokenizer shared with GPT-4o, handling non-English text is now even more cost-effective.

GPT-4o mini surpasses GPT-3.5 Turbo and other small models on academic benchmarks across textual intelligence and multimodal reasoning, and supports the same range of languages as GPT-4o. It also demonstrates strong performance in function calling, enabling developers to build applications that fetch data or take actions with external systems, and improved long-context performance compared to GPT-3.5 Turbo.

Here are some key benchmarks where GPT-4o mini excels:

• Reasoning tasks: GPT-4o mini scores 82.0% on MMLU, compared to 77.9% for Gemini Flash and 73.8% for Claude Haiku.
• Math and coding proficiency: GPT-4o mini excels in mathematical reasoning and coding tasks, scoring 87.0% on MGSM and 87.2% on HumanEval.
• Multimodal reasoning: GPT-4o mini scores 59.4% on MMMU, compared to 56.1% for Gemini Flash and 50.2% for Claude Haiku.

Discover how GPT-4o mini can transform your AI applications with its superior performance and affordability.