Ricursive Intelligence has released Ripple-65B Preview, a 65-billion-parameter dense open-weight model pretrained from scratch with support for context lengths up to approximately 1 million tokens. The model scored 80.52 on the agentic coding benchmark TerminalBench 2.1, surpassing larger models including Reflection Beam 501B, which posted 80.1.
Total R&D cost for Ripple-65B was approximately $32 million. The model weights are now available on Hugging Face, Together AI, GMI Cloud, and OpenRouter.
Ricursive Releases Open-Weight Ripple-65B, Outscores 501B Model on TerminalBench 2.1
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