{"slug": "i-tested-gemma-4-vs-the-qwen-coders-on-16gb-the-bottleneck-was-never-the-model", "title": "I Tested Gemma 4 vs the Qwen Coders on 16GB: The Bottleneck Was Never the Model", "summary": "Qwen's coder outperforms Gemma 4 by 21 points on a benchmark, but the lead narrows significantly when both models run on a 16GB budget against a real repository, suggesting the bottleneck lies elsewhere.", "body_md": "Qwen’s coder beats Gemma 4 by 21 points on the benchmark. Put both on a 16GB budget against a real repo and that lead barely survives —…\nContinue reading on Towards AI »", "url": "https://wpnews.pro/news/i-tested-gemma-4-vs-the-qwen-coders-on-16gb-the-bottleneck-was-never-the-model", "canonical_source": "https://pub.towardsai.net/i-tested-gemma-4-vs-the-qwen-coders-on-16gb-the-bottleneck-was-never-the-model-ed2ba7fe1e1c?source=rss----98111c9905da---4", "published_at": "2026-06-18 17:01:03+00:00", "updated_at": "2026-06-18 17:11:15.377054+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "ai-tools"], "entities": ["Qwen", "Gemma 4", "Towards AI"], "alternates": {"html": "https://wpnews.pro/news/i-tested-gemma-4-vs-the-qwen-coders-on-16gb-the-bottleneck-was-never-the-model", "markdown": "https://wpnews.pro/news/i-tested-gemma-4-vs-the-qwen-coders-on-16gb-the-bottleneck-was-never-the-model.md", "text": "https://wpnews.pro/news/i-tested-gemma-4-vs-the-qwen-coders-on-16gb-the-bottleneck-was-never-the-model.txt", "jsonld": "https://wpnews.pro/news/i-tested-gemma-4-vs-the-qwen-coders-on-16gb-the-bottleneck-was-never-the-model.jsonld"}}