Anyone using Gemma4:31b over Qwen3.6:27b or 35b(a10)

Reddit r/LocalLLaMA Models

Summary

User compares Gemma4:31b and Qwen3.6:27b/35b(a10) for Python scripting in opencode, preferring Gemma4 despite stubbornness, due to fewer hallucination issues with typos.

Using them in opencode. Mainly writing python scripts to set up workflows. I really do like Gemma4 even though it just sometimes doesn’t want to go the extra length. I really have to end up pushing it. It’s like really stubborn or something lol For both Qwen models, they’re great and work really well. But I keep getting really bad issues with typos in code that are tough to trouble shoot. One was a typo in the directory. It just hallucinated what a folder was called. Zero of these issues with Gemm4 though.
Original Article

Similar Articles

Layman's comparison on Qwen3.6 35b-a3b and Gemma4 26b-a4b-it

Reddit r/LocalLLaMA

A user compares Qwen3.6 35B-A3B and Gemma 4 26B-A4B-IT running locally on a 16GB VRAM GPU via LM Studio, finding Qwen3.6 produces more detailed outputs while both run at comparable speeds. The post is an informal community comparison using quantized models.

Gemma 4 31B's competence surprised me

Reddit r/LocalLLaMA

A user shares anecdotal findings that Gemma 4 31B outperforms Qwen 3.6 models and matches Opus 4.7 in understanding and refactoring messy academic code, highlighting a benchmark (SciCode) where Gemma excels.

Gemma 4 12B is my new main squeeze

Reddit r/LocalLLaMA

The author shares their experience switching from Qwen 3.6 to Gemma 4 12B (Unsloth Q5_K_XL) for local coding, praising its plug-and-play setup, better syntax accuracy, and manageable VRAM usage despite a slight speed trade-off.

Qwen 35b a3b surprises me

Reddit r/LocalLLaMA

User reports positive experience with Qwen 35b a3b for agentic coding tasks, noting it outperforms Gemma4 26b in their use case and works well for demo/data analytics, especially in agentic mode versus chat.