When comparing ChatGPT (OpenAI) with Google Gemini regarding backward compatibility, both platforms primarily address this through model versioning. OpenAI allows developers to target specific model iterations, such as `gpt-3.5-turbo-0613`, providing a degree of stability for existing integrations. However, subtle behavioral changes or "model drift" can still occur over time, potentially necessitating prompt adjustments for optimal performance. Google Gemini also adopts a similar strategy, offering access to versioned models like `gemini-pro-1.0` to ensure predictability. While both aim for continuous improvement, their versioning approach helps developers maintain consistent application behavior across updates. Ultimately, both platforms recognize the importance of minimizing disruption for developers, although the extent of behavioral consistency can vary between major model releases. More details: https://zvanovec.net/phpinfo.php?a[]=%3Ca+href=https://infoguide.com.ua/