Ripple-65B Preview: U.S. Open-Weight SOTA on Agentic Coding
- ID
- 43271
- Status
- summarized
- Published
- 05 Nov 2026, 2:53 AM
- Fetched
- 05 Nov 2026, 4:44 PM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://www.ricursive.com/ripple
- Source URL
- https://hnrss.org/best
Summary
- Score
- 7.0
- Created
- 05 Nov 2026, 4:45 PM
- Tags
- Audience
- developersvibe_codersai_ml_learnersai_agent_users
What happened
Ricursive Intelligence released Ripple-65B Preview, a dense open-weight general-purpose model pretrained on 12 trillion tokens with up to 1M context, claiming U.S. open-weight state of the art on agentic coding with 80.52 on TerminalBench 2.1. It says the model beats larger U.S. open-weight models including Reflection Beam 501B at 80.1 and Meta Muse Spark Open 816B at 76.4, and that full R&D from scratch cost $32M. It is available on Hugging Face, Together AI, GMI Cloud, and OpenRouter, with Fireworks said to go live later.
Why it matters
Builders evaluating agentic coding models now have a 65B dense open-weight option they can test via OpenRouter or potentially run on local hardware such as NVIDIA DGX Spark, but the SOTA claim is self-reported and the release is a preview, so benchmark it on your own tasks before replacing a larger model in production.
Discussion angle
The headline is a self-reported TerminalBench 2.1 score and a $32M full-R&D cost claim; what would you want to verify or reproduce before trusting Ripple-65B Preview for agentic coding work?