Ricursive

Ripple-65B Preview, a new open-weight language model from US-based Ricursive, is being presented as the state-of-the-art open-weight model from the United States on agentic coding tasks. Discussion among developers centers on how it compares to leading open models and what its benchmark claims mean for coding agents in practice.

Ricursive Intelligence, a startup founded by former Google engineers, has released Ripple-65B Preview, an Apache 2.0 open-weight model aimed at agentic coding. The 65-billion-parameter dense model reportedly scores 80.5 on Terminal-Bench 2.1, a result the company says edges past larger open rivals. Details beyond the company's own benchmarks and description remain limited.

Ricursive Intelligence has released Ripple-65B Preview, a 65-billion-parameter dense open-weight language model under the Apache 2.0 license. The model scores 80.5 on Terminal-Bench 2.1, a benchmark focused on terminal and coding tasks, which the company says places it ahead of larger US open models that are up to 15 times bigger. Interest centers on whether a mid-sized dense model can genuinely outperform far larger competitors on agentic coding work.