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Ripple 65B Preview Outperforms Qwen 3.8 on Key Benchmarks

By PulseAugur Editorial · [1 sources] ·

A comparison of the Ripple 65B preview model against two versions of Qwen 3.8, the 27B and Flash (FN) models, reveals varying performance across different benchmarks. Ripple 65B leads in Terminal Bench 2.1 and SWEBench Pro, while Qwen 3.8 Flash (FN) excels in DeepSWE 1.1. The SWEBench Pro results are noted to use different versions for Ripple and Qwen, potentially affecting direct comparability. AI

IMPACT Provides insights into the relative performance of different open-source models for specific tasks.

RANK_REASON Comparison of model performance on benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ripple 65B Preview Outperforms Qwen 3.8 on Key Benchmarks

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10 / 100
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Tool
Comparison of model performance on benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]
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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
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [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…

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