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Ricursive Says Ripple-65B Preview Scored 80.52 on Coding Benchmark

The 65-billion-parameter open-weight model supports context windows of about 1 million tokens. Ricursive put research and development costs at about $32 million.

By Simon Yoon
Published
Two unmarked processor packages sit at different heights on a platform / TokenPost.ai
Two unmarked processor packages sit at different heights on a platform / TokenPost.ai

Ricursive Intelligence said its Ripple-65B Preview scored 80.52 on TerminalBench 2.1, exceeding the score of a larger model on the agentic coding benchmark.

Ricursive compared the result with Reflection Beam 501B, a U.S. open-weight model with more parameters that scored 80.1. The company said Ripple-65B Preview is a dense, 65-billion-parameter model pretrained from scratch.

The model supports context windows of about 1 million tokens. Ricursive put its total research and development costs at about $32 million.

The model’s weights are available through Hugging Face, Together AI, GMI Cloud and OpenRouter.

Simon Yoon

Reporter

Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to info@tokenpost.com.

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