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English(EN) Ripple 65B Preview vs Qwen 3.8 27B vs Qwen 3.8 Flash Next

Ripple 65B 预览版在关键基准测试中表现优于 Qwen 3.8

对 Ripple 65B 预览版模型与 Qwen 3.8 的两个版本(27B 和 Flash (FN) 模型)的比较显示,在不同基准测试中的表现各不相同。Ripple 65B 在 Terminal Bench 2.1 和 SWEBench Pro 中领先,而 Qwen 3.8 Flash (FN) 在 DeepSWE 1.1 中表现出色。SWEBench Pro 的结果指出,Ripple 和 Qwen 使用了不同的版本,这可能会影响直接可比性。 AI

影响 为特定任务的不同开源模型的相对性能提供了见解。

排序理由 模型在基准测试上的性能比较。 [lever_c_demoted from research: ic=1 ai=1.0]

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 →

Ripple 65B 预览版在关键基准测试中表现优于 Qwen 3.8

本文如何被排名

Signal score
10 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
模型在基准测试上的性能比较。 [lever_c_demoted from research: ic=1 ai=1.0]
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, other
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/Nota_ReAlperson ·

    Ripple 65B Preview vs Qwen 3.8 27B vs Qwen 3.8 Flash Next

    <!-- SC_OFF --><div class="md"><table><thead> <tr> <th align="left">Benchmark</th> <th align="left">Ripple 65B</th> <th align="left">Qwen 3.8 27B</th> <th align="left">Qwen 3.8 FN</th> </tr> </thead><tbody> <tr> <td align="left">Terminal Bench 2.1</td> <td align="left"><strong>80…