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On November 4, Ricursive Intelligence published Ripple-65B Preview, a dense 65B Transformer pretrained on 12T tokens with up to 1,048,576 tokens of context. The Hugging Face model card reports 80.52 on Terminal-Bench 2.1 and 79.1 on SWE-bench Pro v2.0 Hard against larger U.S. open-weight peers such as Reflection Beam 501B, Meta Muse Spark Open 816B, Thinking Machines Inkling 975B, and NVIDIA Nemotron 3 Ultra 550B. Weights are Apache 2.0 (BF16 instruct, NVFP4 instruct, and BF16 base). Hosted access includes OpenRouter via GMICloud at $0.20 / $0.60 per 1M input/output tokens (cached input $0.05). Source: huggingface.co/ricursiveAI/Ripple-65B-Preview.
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