Heya, Currently using the Python google.genai package to interact with Gemini, I wanted to set a limit to how many tokens can be used for generating a response but it seems that when using the model gemini-2.5-flash and setting max_output_tokens=1, it doesn’t take max_output_tokens into account. I…

I’m also having this issue; isn’t it kind of rediculous? Couldn’t someone theoretically be losing a lot of money to this? Finish reason is ‘STOP’ and there’s no other indication as to why this is happening. Here’s another simple example: ```python from google import genai from google.genai impor…

Hey folks, thanks for flagging this. Eng is actively working on a fix for this issue

The fix is rolling out and will be live in the next couple hours. Thanks once again for reporting this & for your patience while we resolved the issue!

Instead of thinking_budget=0, try setting a small, explicit thinking_budget (e.g., thinking_budget=100 or thinking_budget=500). This might help the model better manage its token usage. Some users have reported better results by setting an explicit thinking_budget rather than disabling it completely. …

Instead of thinking_budget=0 , try setting a small, explicit thinking_budget This has not worked for me. It seems to ignore it completely.

What arg to use in vertex.client.chat.completion for setting the max_tokens ? max_tokens doesn’t work I am using the GEMINI_2_5_FLASH_LITE.

`max_output_tokens` isn't respected when using `gemini-2.5-flash` model

Gemini API

Joe1 October 1, 2025, 4:03pm 2

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`max_output_tokens` isn't respected when using `gemini-2.5-flash` model

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