# Ricursive Intelligence releases open Ripple-65B Preview coding model under Apache 2.0

published: 2026-11-06T20:05:26.451Z
topic: infrastructure
source: https://the-decoder.com/ripple-65b-preview-delivers-strong-agentic-coding-results-as-a-fully-apache-2-0-open-us-model/
url: https://aiagentnews.io/stories/ricursive-intelligence-releases-open-ripple-65b-preview-coding-model-under

Ricursive Intelligence has released Ripple-65B Preview, a 65-billion-parameter open model under the Apache 2.0 license. According to the company, it scores 80.52 on the TerminalBench 2.1 coding benchmark, the best result among open US models.

Ricursive Intelligence, an AI chip design firm, trained Ripple-65B Preview on 12 trillion tokens. The company says the model reached 80.52 on TerminalBench 2.1. Ripple uses Terminus 2 and OpenCode as its harness, partly relying on each.

Ripple does not match the newly released Inkling 2 Small on the other benchmarks reported. On SWE-Bench Pro v2.0 Hard it scores 79.1% against 86.3%, and on DeepSWE v1.1 it scores 44.3% against 72.1%. The model is a dense Transformer with 65 billion parameters rather than a mixture-of-experts design, and it is optimized for Nvidia hardware.

Ricursive says total development and training costs came to $32 million. The weights are available on Hugging Face under the Apache 2.0 license. The Decoder notes that Ripple is likely easier to deploy on users' own hardware than Inkling 2 Small.

## Why it matters if you build agents

Developers who want a self-hosted coding model now have an Apache 2.0 option with strong reported agentic coding results. The scores are company-reported and the model trails Inkling 2 Small on the benchmarks shown.

Test Ripple-65B Preview in your own harness on your own tasks before choosing it over a larger or closed model.