OpenCode benchmarks crown Qwen 3.5 27b local king

The "local-first" AI development trend is hitting a sweet spot where consumer GPUs can finally run highly capable, autonomous coding agents.

• –Qwen 3.5 27b (IQ3_XXS) achieved 100% test pass rates on Go CLI tasks, outperforming larger variants within the 16GB VRAM hardware constraint.
• –OpenCode Zen’s "Bigpicle" model demonstrates the value of agentic research, proactively using Exa Code Search to understand protocols before generating code.
• –Enabling "high thinking" modes significantly rescues the performance of mid-sized models like GPT-OSS 20b, though at the cost of inference speed.
• –Gemma 4 26b and 31b show strong reasoning capabilities but require aggressive quantization to fit on accessible hardware.
• –The shift from basic chat to agentic loops—incorporating research, testing, and error correction—is becoming the new standard for evaluating LLM utility.