OpenAI has introduced GPT-4o mini, a new model designed to make advanced AI more accessible. This new release aims to provide powerful AI capabilities at a fraction of the cost of previous models.
This latest addition to the OpenAI family combines affordability with impressive capabilities, setting a new standard for cost-effective AI solutions.
Table of Contents
Key Features and Capabilities
Let us look at the key features and potential applications of GPT-4o mini.
Cost Efficiency
GPT-4o mini is priced at 15 cents per million input tokens and 60 cents per million output tokens. This makes it significantly more affordable than previous models, including GPT-3.5 Turbo, which is more than 60% more expensive.
Performance
Despite its lower cost, GPT-4o mini delivers strong performance across various benchmarks.
Benchmarks
GPT-4o mini scores 82% on the MMLU (Massive Multitask Language Understanding) benchmark, outperforming other small models like Gemini Flash and Claude Haiku.
It also excels in mathematical reasoning and coding tasks, scoring 87.0% on MGSM (math reasoning) and 87.2% on HumanEval (coding performance).
Multimodal Reasoning
It shows strong performance in multimodal reasoning tasks, scoring 59.4% on MMMU (multimodal reasoning evaluation).
Context Window
GPT-4o mini has a context window of 128,000 tokens. This allows it to handle large volumes of context, such as full code bases or long conversation histories.
Multimodal Capabilities
Currently, GPT-4o mini supports text and vision inputs and outputs. Future updates will include support for video and audio inputs and outputs.
Function Calling
Developers will find GPT-4o mini's function calling abilities useful. GPT-4o mini demonstrates strong performance in function calling, enabling developers to build applications that can fetch data or take actions with external systems.
Language Support
Thanks to an enhanced tokenizer shared with GPT-4o, GPT-4o mini handles non-English text more efficiently. This improvement makes the model more cost-effective for multilingual applications.
Applications
GPT-4o mini's combination of affordability and capabilities makes it suitable for various uses such as:
- Customer Support Chatbots: Its low cost and fast response times make it ideal for real-time text interactions with customers.
- API Calls: It can efficiently handle applications that chain or parallelize multiple model calls.
- Large Context Processing: Suitable for tasks that require processing large volumes of context, such as analyzing full code bases or conversation histories.
Comparison with Other Models
GPT-4o: GPT-4o mini is a smaller, more cost-efficient version of GPT-4o, OpenAI's flagship model for complex, multi-step tasks.
GPT-3.5 Turbo: GPT-4o mini is more affordable and performs better on several benchmarks compared to GPT-3.5 Turbo.
Future Developments
OpenAI plans to expand GPT-4o mini's capabilities to include support for video and audio inputs and outputs, further enhancing its versatility. For more details, please refer the official announcement:
Key Takeaways
- Cost Efficiency: GPT-4o mini is significantly more affordable than previous models, making advanced AI accessible at a lower cost.
- High Performance: It excels in benchmarks, including language understanding, mathematical reasoning, and coding tasks, outperforming many small models.
- Large Context Window: With a context window of 128,000 tokens, GPT-4o mini can handle extensive amounts of text, making it suitable for processing large volumes of data.
- Multimodal Capabilities: It currently supports text and vision inputs and outputs, with future updates planned for video and audio support.
- Enhanced Function Calling: GPT-4o mini enables robust function calling for applications that require interaction with external systems.
- Versatile Applications: Ideal for customer support chatbots, API calls, and tasks that require large context processing.
- Future Developments: OpenAI plans to enhance GPT-4o mini's capabilities further by including support for video and audio inputs and outputs.