Developers can now fine-tune GPT‑4o with custom datasets to get higher performance at a lower cost for their specific use cases. Fine-tuning enables the model to customize structure and tone of responses, or to follow complex domain-specific instructions. Developers can already produce strong results for their applications with as little as a few dozen examples in their training data set.

From coding to creative writing, fine-tuning can have a large impact on model performance across a variety of domains. This is just the start—we’ll continue to invest in expanding our model customization⁠ options for developers.

GPT‑4o fine-tuning is available today to all developers on all paid usage tiers⁠(opens in a new window).

To get started, visit the fine-tuning dashboard⁠(opens in a new window), click create, and select gpt-4o-2024-08-06 from the base model drop-down. GPT‑4o fine-tuning training costs $25 per million tokens, and inference is $3.75 per million input tokens and $15 per million output tokens.