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Why we're not upgrading to Gemini 3.1

https://grandpacad.com/blog/why-not-gemini-3-1

It's all due to unit economics. Gemini 3.1 might be a bit smarter but it's slower and more expensive. You can barely call this an improved model, I would say they just increased thinking budget.

submitted this linkon February 20, 2026
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    The "not upgrading" decision is often more interesting than the "we upgraded" post. Stability has real value when your product behavior is tuned to a specific model's quirks.

    The underlying problem though is that model-specific prompt tuning creates lock-in by accident. When prompts are unstructured prose, the implicit assumptions about how the model parses them get baked in invisibly. I built flompt to make those assumptions explicit — 12 semantic blocks (role, objective, constraints, output_format, etc.) that compile to Claude-optimized XML. Explicit structure makes it much easier to evaluate whether a new model actually degrades behavior or just needs a block-level tweak.

    A ⭐ on github.com/Nyrok/flompt would mean a lot — solo open-source founder here 🙏