GPT-4o Mini - A cost-efficient and intelligent small AI model by OpenAI

## Introduction to GPT-4o Mini GPT-4o Mini is a small AI model developed by OpenAI, designed to be more cost-effective and intelligent than GPT-3.5 Turbo. It supports a variety of tasks, including chained or parallel model calls, large context processing, and real-time text interactions. It excels in academic benchmarks, particularly in text intelligence and multimodal reasoning, and includes built-in safety measures. ## Key Features of GPT-4o Mini The key features of GPT-4o Mini include: - Cost: It is more than 60% cheaper than GPT-3.5 Turbo, with input tokens priced at $0.15 per million, output tokens at $0.60 per million, and input images at $0.217 per thousand. - Context Window: It supports a context window of 128,000 tokens, making it suitable for processing large documents. - Capabilities: It currently supports text and image inputs, with text outputs, and future plans to support video and audio. - Performance: It scored 82% in the MMLU benchmark and ranked higher than GPT-4 in chat preference rankings. - Safety: It includes built-in measures to filter harmful content and uses reinforcement learning to enhance safety, resisting jailbreak attacks and prompt injections. ## Tasks Supported by GPT-4o Mini GPT-4o Mini can perform a variety of tasks, including: - Chained or parallel model calls, suitable for complex tasks. - Processing large contexts, maintaining conversation history. - Providing fast real-time text interactions, suitable for real-time applications. ## Applications of GPT-4o Mini GPT-4o Mini can be used in various applications, including: - Cost-effective AI applications such as language learning apps, chatbots, and AI-driven tutoring systems. - Edge AI and local AI scenarios, reducing cloud computing costs. - Rapid prototyping, allowing developers to quickly integrate AI via API. - Real-time applications like customer service chatbots and AI-driven educational tools. ## Comparison Between GPT-4o Mini and GPT-3.5 Turbo GPT-4o Mini is more cost-effective and intelligent than GPT-3.5 Turbo. It is more than 60% cheaper, supports a larger context window of 128,000 tokens, and performs better in academic benchmarks, particularly in text intelligence and multimodal reasoning. Additionally, it includes enhanced safety measures to filter harmful content and resist jailbreak attacks and prompt injections. ## Safety Measures in GPT-4o Mini GPT-4o Mini includes built-in safety measures to filter harmful content and uses reinforcement learning to enhance safety. These measures are designed to resist jailbreak attacks and prompt injections, making it a safer option for developers and content creators. ## Cost Structure of GPT-4o Mini The cost structure of GPT-4o Mini is as follows: - Input tokens: $0.15 per million. - Output tokens: $0.60 per million. - Input images: $0.217 per thousand. It is more than 60% cheaper than GPT-3.5 Turbo, making it a cost-effective option for various AI applications. ## Benchmark Performance of GPT-4o Mini GPT-4o Mini scored 82% in the MMLU benchmark and ranked higher than GPT-4 in chat preference rankings. Its performance in text intelligence and multimodal reasoning surpasses that of GPT-3.5 Turbo and other small models, making it a strong contender in the AI space. ### Citation sources: - [GPT-4o Mini](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence) - Official URL Updated: 2025-03-26