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]
- Apache Software License 2.0
- Atlassian
- DeepSeek-V3.1
- Forge 2.0
- Gauntlet
- Jira
- LFM3-1.7B
- Liquid Ai
- M3 Ultra
- Mac
- OpenRouter
- PrimeIntellect
- Ricursive
- Ricursive Intelligence
- Ripple-65B Preview
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