Comparing Qwen3.5 vs Gemma4 for Local Agentic Coding
r/LocalLLaMA
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Generative AI
Open Source AI
Gemma4 was relased by Google on April 2nd earlier this week and I wanted to see how it performs against Qwen3.5 for local agentic coding. This post is my notes on benchmarking the two model families. I ran two types of tests: Standard llama-bench benchmarks for raw prefill and generation speed Single-shot agentic coding tasks using Open Code to see how these models actually perform on real multi-step coding workflows My pick is Qwen3.5-27B which is still the best model for local agentic coding on an 24GB card (RTX 3090/4090.