Qwen next 3.8 and 3.8 27b Vs Sonnet 5.5 low and Sonnet 5.5 medium.
The discussion highlights the rapid advancement of local models, noting that six months ago, their current performance would have been unimaginable. The user emphasizes that local models are now at the cutting edge, closing the gap with larger models. Specifically, Qwen-Next 3.8 is praised for its ability to handle complex tasks, even outperforming GPT-Sol-6-High in a project, establishing itself as a reliable benchmark.
时间与来源
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发布当时偏移：UTC+02026年9月28日 20:38 UTC
收录当时偏移：UTC+02026年9月29日 04:00 UTC
- 发布
- 2026年9月28日 20:38
- 收录
- 2026年9月29日 04:00
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
讨论趋势
百分比基于采集到的讨论信号，不代表新增评论数或独立参与人数。曲线仅用于同一话题在不同时段的比较。
Six months ago, a result like this was unthinkable. But now we can say it loud and clear: local models are at the cutting edge, and the gap of just a few months has been confirmed.
Personally, I use Qwen-Next 3.8 for complex tasks; today, GPT-Sol-6-High was messing up a project, but Qwen-Next got it back on track. I consider it a reliable benchmark. What’s your take?