AI chip design firm Ricursive Intelligence has trained an open language model. Ripple-65B Preview was pretrained on 12 trillion tokens and, according to the company, achieved a score of 80.52 on the TerminalBench 2.1 coding benchmark, the best result among open US models. Ripple partly uses Terminus 2 and partly OpenCode as its harness. Other benchmark results show that Ripple does not match the also newly released Inkling 2 Small, but Ripple is likely easier to deploy on users' own hardware. According to Ricursive, total development and training costs amounted to just $32 million, covering all research and development expenses.

Benchmark Ripple-65B Preview Inkling 2 Small SWE-Bench Pro v2.0 Hard 79.1% 86.3% DeepSWE v1.1 44.3% 72.1% MCP Atlas 71.67% 85.4/85.0%

The model uses a dense Transformer architecture with 65 billion parameters instead of the more common mixture-of-experts approach and is optimized for Nvidia hardware. Ripple-65B Preview is available on Hugging Face under the Apache 2.0 license.