Gemini API Response Becomes Inconsistent After Adding More Context

Gemini API
1

Hi everyone,

I’m working on a small content-related project using Gemini and recently noticed something I’m trying to understand.

When I send a short prompt, the response is usually clear and follows the instructions quite well. But when I add more context or several instructions to the same prompt, the output sometimes becomes inconsistent — for example, it may follow the first few instructions but ignore one of the later ones.

I’ve tried making the prompt more structured and separating the instructions into sections, which helps a little, but the behavior still happens occasionally.

Has anyone experienced something similar with Gemini?

I’d be interested to know whether there’s a recommended way to structure longer prompts so that the model consistently follows all the instructions. Is it better to split the task into multiple API calls instead?

Any advice or examples of prompt structures that have worked well for you would be appreciated.

2

Hello, when adding extensive context, model performance can sometimes vary depending on how the information is organized. To help improve consistency, please review our official documentation on best practices for long prompts and context structuring: https://ai.google.dev/gemini-api/docs/prompting-strategies#context.