openai

Exploring the Advances in OpenAI's Latest Models: GPT-4o-2024-05-13 vs GPT-4o-2024-08-06

Tal Peretz

Aug 7, 2024 — 2 min read

The field of artificial intelligence continues to evolve with OpenAI's latest models, particularly the GPT-4o-2024-05-13 and its successor, GPT-4o-2024-08-06. This blog post delves into the improvements and features of these models to help developers and businesses leverage cutting-edge AI technology effectively.

Model Release and Features

Released as part of OpenAI's spring update, the GPT-4o-2024-05-13 model brought several enhancements, including better handling of text, video, and audio, as well as a new voice interface. This model set a new standard in AI capabilities, pushing the envelope in terms of versatility and user interaction.

Performance and Benchmarks

The GPT-4o-2024-05-13 model has been outperformed by the more recent GPT-4o-2024-08-06 model. The newer model excels in benchmarks like LiveBench and ZeroEval Leaderboard, showcasing significant improvements in processing speed and accuracy.

Pricing and Availability

The GPT-4o-2024-05-13 model, initially available at a certain price point, has been replaced by the cost-effective GPT-4o-2024-08-06. The newer model is 50% cheaper for input tokens and 33% cheaper for output tokens, making advanced AI more accessible.

Structured Outputs and Function Calling

One of the standout features of the GPT-4o-2024-08-06 model is its support for Structured Outputs. Developers can now specify exact JSON Schemas for outputs, allowing for more precise and predictable results. While this feature is also present in the GPT-4o-2024-05-13 model, it is more refined in the latest version.

Usage and Integration

Both models are versatile in their integration capabilities. They can be accessed through the LiteLLM Proxy Server, facilitating a seamless proxy setup for calling OpenAI models. Additionally, LangChain integration supports these models, enabling developers to generate chat completions and utilize various tools efficiently.

Fine-Tuning and Performance Improvements

Fine-tuned versions of these models, such as ft:gpt-4o-2024-05-13, have demonstrated significant performance improvements in benchmarks like SWE-bench. These fine-tuned models are tailored for specific tasks, offering enhanced accuracy and efficiency.

In conclusion, while the GPT-4o-2024-05-13 model was a milestone in AI development, the GPT-4o-2024-08-06 model offers superior performance, reduced costs, and advanced features like Structured Outputs. These advancements make the newer model a compelling choice for developers and businesses looking to integrate AI into their operations.

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