Introducing GPT-4o Mini: Affordable, High-Performance AI

Introduction

OpenAI is taking a significant leap in making artificial intelligence more accessible and affordable with the introduction of GPT-4o mini. As the most cost-efficient model in the GPT-4o series, GPT-4o mini aims to democratize the use of advanced AI technology by reducing costs while maintaining high performance. This innovative model is set to expand the possibilities of AI applications, providing a powerful tool for developers and businesses at a fraction of the cost of previous models.

Affordable and Efficient

GPT-4o mini has been designed with cost efficiency in mind. Priced at just 15 cents per million input tokens and 60 cents per million output tokens, it is significantly more affordable than its predecessors, including GPT-3.5 Turbo. This pricing structure not only makes GPT-4o mini a compelling choice for developers but also opens up new opportunities for applications that require frequent or extensive model interactions. The model’s reduced latency and low cost are ideal for scenarios involving multiple API calls, extensive context handling, or real-time text responses, such as in customer support chatbots.

Superior Performance Across Benchmarks

Despite its affordability, GPT-4o mini does not compromise on performance. It scores an impressive 82% on the MMLU benchmark, surpassing other small models like Gemini Flash and Claude Haiku in both textual intelligence and multimodal reasoning. In addition, GPT-4o mini excels in mathematical reasoning and coding tasks, with scores of 87.0% on MGSM for math and 87.2% on HumanEval for coding. Its strong performance in multimodal reasoning, as evidenced by its 59.4% score on MMMU, further highlights its versatility and capability.

Multimodal Capabilities

GPT-4o mini supports both text and vision inputs in its current API version, with plans to extend support to image, video, and audio inputs and outputs in the future. This broad range of capabilities allows developers to create more complex and integrated applications. The model’s context window of 128K tokens and support for up to 16K output tokens per request make it well-suited for handling large volumes of information and generating detailed responses.

Built-In Safety Measures

OpenAI continues to prioritize safety with GPT-4o mini, incorporating advanced safety measures to ensure responsible use. The model is equipped with built-in safety features similar to those of GPT-4o, including filtering out harmful content and aligning behavior through reinforcement learning with human feedback (RLHF). Additionally, GPT-4o mini introduces the instruction hierarchy method, which enhances its ability to resist misuse, such as prompt injections and system prompt extractions. These improvements contribute to more reliable and secure AI interactions.

Availability and Future Prospects

GPT-4o mini is now available through the Assistants API, Chat Completions API, and Batch API, with pricing designed to be accessible for a wide range of applications. Developers can start using the model today, with fine-tuning options becoming available in the near future. For users of ChatGPT, GPT-4o mini will replace GPT-3.5 in Free, Plus, and Team plans, with Enterprise users gaining access shortly thereafter.

OpenAI remains committed to driving down costs while enhancing model capabilities. GPT-4o mini exemplifies this commitment, reflecting a trend of making advanced AI more integrated and cost-effective. As AI technology continues to evolve, GPT-4o mini represents a significant step towards a future where powerful AI applications are both accessible and affordable.

Conclusion

The launch of GPT-4o mini marks a pivotal moment in the advancement of artificial intelligence. By combining high performance with exceptional cost efficiency, OpenAI is enabling a new wave of AI applications that are both powerful and economically feasible. As the landscape of AI technology continues to evolve, GPT-4o mini sets a new standard for affordability and capability, paving the way for broader adoption and innovative use cases across various industries.