Ricursive releases Ripple-65B Preview open-source model
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Ricursive AI releases Ripple-65B Preview, a 65B dense open-weights model pretrained from scratch and aimed at agentic coding, released under the Apache 2.0 license with weights uploaded to Hugging Face. Ricursive self-reports that the model scores 80.5 on Terminal-Bench 2.1, calling it the highest score among US open-weights models. On availability, Ricursive lists Together AI, GMI Cloud, and OpenRouter as launch platforms, with Fireworks to follow later; however, the Together AI page still labels the model as "coming soon."
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- MarkTechPostFeaturedRicursive AI Releases Ripple-65B Preview: A 65B Dense Open-Weight Model Scoring 80.5 on Terminal-Bench 2.1
Ricursive Intelligence released Ripple-65B Preview, a 65B dense open-weight model pretrained from scratch on 12T tokens with up to 1M context, shipping three Apache 2.0 checkpoints (instruction-tuned BF16, NVFP4, and BF16 base). Ricursive reports 80.5 on Terminal-Bench 2.1, the top self-reported score among US open-weight models, while trailing larger MoE rivals on SciCode (39.4) and DeepSWE 1.1 (44.3), with full R&D cost stated at $32M. Weights are on Hugging Face, with Together AI, GMI Cloud and OpenRouter listed at launch and an experimental NVFP4 build targeting NVIDIA DGX Spark.
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