Gemma 4 31B outshines Qwen in agentic coding

Gemma 4 31B is rapidly becoming the benchmark for dense, mid-sized open models optimized for reasoning and agents.

• –The built-in "thinking" mode provides a visible chain-of-thought that significantly reduces failures in multi-step agentic loops.
• –Switching to a fully permissive Apache 2.0 license lowers the barrier for enterprise adoption and local fine-tuning compared to previous Gemma iterations.
• –While Qwen 3.5 27B maintains a slight edge in raw context processing speed for very long windows (150k+), Gemma's reasoning depth and "LLMism-free" writing style make it more reliable for complex tasks.
• –The 31B dense architecture is perfectly sized for 24GB VRAM consumer GPUs, enabling high-performance local inference without heavy quantization tradeoffs.