Ripple-65B Preview: a 65B open model that claims the US open coding lead

Ricursive Intelligence (ex-Googlers) released Ripple-65B Preview, a dense 65-billion-parameter open-weight model (Apache 2.0, up to 1M context, pretrained on 12T tokens) that it says scores 80.5 on Terminal-Bench 2.1, ahead of much larger US open models in its own table. Weights are on Hugging Face. The company notes that harness choice moves scores a lot, and several knowledge and coding rows still favour larger rivals. Fact or hype: partly fact. The weights and licence are real; the headline wins are Ricursive's own runs.

Why it mattersAnother usable open coding model you can self-host or run through a provider, without waiting for the next closed-model drop. Try it on your real tasks and ignore the 'beats models 10x its size' framing until you've seen your own results.

Curated by Sara Simeone as part of our human editorial coverage. The original sources are linked below; curation is distinct from a Hype or Fact? assessment.

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How we knowCompany figures are labelled as their own claims; anything we couldn't verify is labelled as a report or a claim.