Ripple-65B Preview delivers strong agentic coding results as a fully Apache 2.0 open US model

Ricursive Intelligence has trained Ripple-65B Preview, a dense 65-billion-parameter Transformer pretrained on 12 trillion tokens, which the company says scored 80.52 on TerminalBench 2.1, the best result among open US models. On other benchmarks it trails the newly released Inkling 2 Small (79.1% vs 86.3% on SWE-Bench Pro v2.0 Hard, 44.3% vs 72.1% on DeepSWE v1.1, and 71.67% vs 85.4/85.0% on MCP Atlas) but is likely easier to deploy on users' own hardware. Ricursive says total development and training costs were just $32 million, and the model is available on Hugging Face under the Apache 2.0 license.