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English(EN) Is it just me or Kimi K3.1 Pro don’t look much better than DeepSeek 4.1 Flash?

Kimi K3.1 Pro 性能被质疑不如 DeepSeek 4.1 Flash

在 r/LocalLLaMA 论坛上,有用户质疑 Kimi K3.1 Pro 相较于 DeepSeek 4.1 Flash 的性能提升。用户指出,虽然 Kimi 模型普遍受到好评,但 Kimi K3 Pro 由于其大小和速度,即使量化后也难以在本地运行。相比之下,DeepSeek 4.1 Flash 以更小的体积和更快的处理速度提供了可比的结果。用户认为,考虑到 Kimi 量化后可能出现的输出质量下降,Kimi K3 Pro 相较于 DeepSeek 1017 可能并非显著的升级。 AI

影响 用户驱动的性能比较可能会影响对更小、更高效模型的采纳。

排序理由 用户观点文章,讨论模型性能比较。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Kimi K3.1 Pro 性能被质疑不如 DeepSeek 4.1 Flash

本文如何被排名

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
用户观点文章,讨论模型性能比较。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Hannibalj2ca ·

    是只有我觉得 Kimi K3.1 Pro 看起来比 DeepSeek 4.1 Flash 好看吗?

    <!-- SC_OFF --><div class="md"><p>Personally I am quite fond of the Kimi models, especially them taking a gamble pushing the 2.8b parameter models. But that’s just it, you’d figure that the results would be representative of its size. However, the recent release of DeepSeek 1017 …