Gemma 4 31B passed 7/8 real-world production tests — including ones I designed to make it fail. Full prompts + outputs.

Reddit r/LocalLLaMA / 4/15/2026

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Key Points

A Reddit post reports that the open-weight Gemma 4 models (31B Dense and 26B A4B MoE) “passed” 7 of 8 user-designed, real-world production-style tasks, suggesting they may be viable for simple-to-medium work use cases.
The author shares copy-paste prompts, full model outputs for longer tests, and a demo single-file HTML app requiring a free AI Studio key so others can reproduce the evaluation.
Results were cross-verified by two other advanced models (Gemini 3.1 Pro and Claude Opus 4.6), and the tests were run via a hosted GenAI API on GCP rather than fully local inference.
The post emphasizes practical readiness over benchmarks, describing that it included prompts intended to reveal failure modes in the model.
The underlying code and methodology are published in a GitHub repo to enable independent replication and further testing by the community.

I've been waiting for a capable free local LLM for a while. I think we're close — the quality is getting there fast, and Gemma 4 is the first open-weight model where I genuinely considered using it in production for simple-to-medium tasks.

To test that instinct, I ran both models (31B Dense and 26B A4B MoE) through 8 real-world tasks — not benchmarks, actual prompts I'd use at work. Shared everything so you can run the same tests yourself:

- All 8 prompts, copy-paste ready

- Full model outputs for the longer tests

- Demo app source (single HTML file, just needs a free AI Studio key)

Results verified by Gemini 3.1 Pro and Claude Opus 4.6 independently.

https://github.com/useaitechdad/explore-gemma4

*Note: I ran these tests via Genai API (Gemma 4 hosted on GCP), not locally. A friend runs the 31B locally and reports similar performance, but these specific tests were cloud-run. *

submitted by /u/grassxyz
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