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Ricursive's Ripple-65B Preview benchmarked on agentic coding tasks

Ricursive's Ripple-65B Preview model was benchmarked on agentic coding tasks, achieving a score of 0.028 on the Gauntlet sb-7.2 benchmark and scores of 0.0858 and 0.0770 on Forge 2.0. These results are compared against DeepSeek V4.1 Flash 1017, which scored 0.6957 on Gauntlet in October, and Liquid AI's LFM3-1.7B, which scored 0.0055 on Gauntlet. The report notes that Ripple-65B's performance was impacted by a backend issue that caused HTTP requests to fail, leading to tests being moved in-process. The model also demonstrated specific performance characteristics on a Mac with an M3 Ultra chip, running at 13.5 tokens per second. AI

IMPACT Provides benchmark data for agentic coding capabilities, informing developers on model performance for complex tasks.

RANK_REASON The item details benchmark results for a specific model (Ripple-65B Preview) on agentic coding tasks, comparing it to other models and providing technical performance data. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

Ricursive's Ripple-65B Preview benchmarked on agentic coding tasks

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49 / 100
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The item details benchmark results for a specific model (Ripple-65B Preview) on agentic coding tasks, comparing it to other models and providing technical performance data. [lever_c_demoted from re…
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Mihai Perdum ·

    Ripple-65B Preview Benchmark: Gauntlet, Forge 2.0, LFM3-1.7B

    <p>Ricursive's Ripple-65B Preview scored 0.028 out of 1 on our Gauntlet sb-7.2 agentic coding benchmark, where DeepSeek V4.1 Flash 1017 scored 0.6957 in October. One wiring line made every /api request in its app fail with a 500, and after seeing that on three HTTP checks it move…