<ul><li>Swapping large language models (LLMs) is not as simple as changing an API key, as each model interprets and responds to prompts differently.</li><li>Cross-model migration involves considering tokenizer quirks, formatting preferences, response structures, and context window performance.</li><li>Model choices based solely on per-token costs can be misleading, as tokenization costs can vary between different models.</li><li>Prompt formatting, such as the use of markdown or XML tags, can significantly impact model performance and should be considered during model migration.</li></ul>

Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration

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