Paul Krill
Editor at Large

OpenAI announces free fine-tuning for GPT-4o mini model

news
Jul 24, 20242 mins

Free fine-tuning allows OpenAI customers to train the GPT-4o mini model on additional data at no charge until September 23, starting with Tier 4 and Tier 5 users.

openai
Credit: Andrew Neel

OpenAI is offering free fine-tuning on its new GPT-4o mini model, allowing users to train the model on additional data at no charge to enable higher performance for specific use cases.

GPT-4o mini fine-tuning is available to developers in OpenAI’s Tier 4 and 5 usage tiers, which are the highest-priced tiers among OpenAI’s plans. OpenAI plans to gradually expand access to free fine-tuning to all tiers. Free fine-tuning will be offered now through September 23.

Developers can start fine-tuning GPT-4o mini for free by visiting their fine-tuning dashboard, clicking “create,” and selecting “GPT-4o mini” from the base model drop-down menu. Each organization gets 2M training tokens per 24-hour period to train the model. Any overage will be charge $3.00 per 1M tokens. More details on free fine-tuning are offered in OpenAI’s fine-tuning docs.

Compared to fine-tuning with OpenAI’s GPT 3.5 Turbo, GPT-4o mini is positioned to be more cost-efficient and more capable, with longer context and lower latency. GPT-4o mini was launched July 18 with the intention of expanding the range of applications built with AI by making intelligence more affordable. It enables a range of tasks such as applications that chain or parallelize model calls, pass a large volume of context to the model, or interact with customers through fast real-time text responses, such as customer support chatbots.

Paul Krill

Paul Krill is editor at large at InfoWorld. Paul has been covering computer technology as a news and feature reporter for more than 35 years, including 30 years at InfoWorld. He has specialized in coverage of software development tools and technologies since the 1990s, and he continues to lead InfoWorld’s news coverage of software development platforms including Java and .NET and programming languages including JavaScript, TypeScript, PHP, Python, Ruby, Rust, and Go. Long trusted as a reporter who prioritizes accuracy, integrity, and the best interests of readers, Paul is sought out by technology companies and industry organizations who want to reach InfoWorld’s audience of software developers and other information technology professionals. Paul has won a “Best Technology News Coverage” award from IDG.

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