A user tested the new Qwen3.8:27b model's ability to port a large C codebase to a single-file HTML with Three.js. The Qwen model, running locally on powerful hardware, took over four hours to produce a poor result, significantly longer than Anthropic's Opus 5, which completed a similar task in 21 minutes with an 'okay' outcome. The experiment suggests that local models still heavily rely on effective prompting, and even with extensive context windows and hardware, a thin prompt can lead to inefficient resource usage and suboptimal results. AI
IMPACT Highlights the current limitations of local LLMs in handling large codebases and complex tasks compared to cloud-based models.
RANK_REASON User-generated comparison of local LLM performance on a specific coding task.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
