I've had that using gemini (via windsurf). Doesn't seem to happen with other models. No idea if there's any correlation but it's an interesting failure mode.
I've had that using gemini (via windsurf). Doesn't seem to happen with other models. No idea if there's any correlation but it's an interesting failure mode.
I'd recommend rerunning the benchmarks with the sampling methods explicitly configured the same in each tool. It's tempting to benchmark with all the nondeterminism turned off, but I think it's less useful since in practice for any model you're self hosting for real work you're going to probably want top-p sampling or something like it and you want to benchmark the implementation of that too.
I've never seen gemini do this though, that'd be kinda wild if they shipped something that samples that way. I wonder if windsurf was sending a different config over the api or if this was a different bug.
After having that happen, I switched my stuff to check the model's preferred context size, then set the context size to match, before using any given model.
Here are some examples: https://www.reddit.com/r/GeminiAI/comments/1lxqbxa/i_am_actu...