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Gemma 4 tops Qwen 3.5 in Go benchmarks

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Gemma 4 tops Qwen 3.5 in Go benchmarks
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// 47d agoBENCHMARK RESULT

Gemma 4 tops Qwen 3.5 in Go benchmarks

Miguel Filipe published a benchmarking study evaluating local MoE models like Gemma 4 and Qwen 3.5 using a functional Go integration test harness on a Framework 13 laptop. The results reveal a significant gap between theoretical performance and actual functional reliability in quantized local environments.

// ANALYSIS

Functional execution testing is the only benchmark that matters for AI coding, as it exposes the flakiness that synthetic evals hide. Gemma 4 26B-A4B emerged as the winner, proving resistant to quantization degradation, while Qwen 3.5 35B struggled with consistency and compile failures despite its larger parameter count. The study highlights that increased context length and memory bandwidth are critical for success in local MoE architectures on mobile platforms like the Ryzen AI 370HX.

// TAGS
gemma-4qwen-3-5ai-codingbenchmarklocal-llmgo

DISCOVERED

47d ago

2026-04-11

PUBLISHED

47d ago

2026-04-10

RELEVANCE

9/ 10

AUTHOR

m3thos