Ricursive Releases Open-Weight Model Ripple-65B Preview

TechFlow reported that on November 5, according to an official announcement from Ricursive Intelligence, the company released the open-weight model Ripple-65B Preview. The model features a 65-billion-parameter dense architecture, is pretrained from scratch, and supports a context length of up to 1 million tokens.

Ricursive said the model achieved a score of 80.52 on the agentic coding benchmark TerminalBench 2.1, surpassing Reflection Beam 501B's score of 80.1. The company stated that the total R&D cost for model development and training was $32 million, and the weights are available on platforms including Hugging Face.

Source: TechFlow