Is there any reason for a lack of love for Gemma 4 26b?

Reddit r/LocalLLaMA Models
gemma-4 qwen model-comparison local-llm open-source 3090

Summary

A user asks why Gemma 4 26b receives less attention compared to Qwen models, sharing their experience using these models for a personal assistant project on a 3090.

The answer to most questions on here is Qwen3.6 27b or 35b and then Gemma4 31b (but lesser so as it doesn’t fit well on a solo 3090). Is there any reason why Gemma 4 26b moe isn’t mentioned more? I plan on using Qwen for my coding agents. But I’ve been building a Jarvis for myself that’s a big all in one rag, personal assistant, etc on my solo 3090 build (with a few side GPUs to help with supporting smaller models). I had qwen3.6 35b as my primary driver behind this. But the more testing I’ve been doing, I think Gemma may possibly be better for this type of test. My only red flag is that I don’t see a ton of people talking about it anymore on here. Why is there a lack of attention around Gemma 4 26b? What skeletons does it have in its closet?
Original Article

Similar Articles

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.

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.