# Ricursive releases Ripple-65B Preview, claiming $32M total cost for agentic coding gains

> Original title: > we developed and trained Ripple-65B Preview for only $32M, which is one-tenth the cost of the previous open-weight SOTA on agentic coding¹

- Source: swyx
- Published: 2026-11-04T20:11:24.000Z
- Bad Influence: https://badinfluence.news/items/xyaw3qk4nsjfj4ddghcipvdr1
- Original: https://x.com/swyx/status/2118073650356384239

## Summary

Ricursive Intelligence released Ripple-65B Preview, a 65B dense LLM pretrained from scratch, and says it surpasses larger U.S. open-weight models in agentic coding. swyx, quoting the release, says the model cost $32M, one-tenth the cost of the previous open-weight SOTA on agentic coding. A footnote says the $32M covers full R&D, including pretraining ladder development, data mixing, evals, debugging, synthetic data generation, posttraining, and the final pretraining and posttraining runs.

## Post

> we developed and trained Ripple-65B Preview for only $32M, which is one-tenth the cost of the previous open-weight SOTA on agentic coding¹

this is like the avengers of open model SOTA

¹ "Note that $32M is our full R&D cost starting from scratch, including pretraining ladder development, data mixing, evals, debugging, synthetic data generation, posttraining recipe development, and the final hero pretraining and posttraining run."

![](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWTopt3bMAA8AGV.jpg&mode=thumb&exp=1794009600&sig=f18742108b891ec1)

## Quoted post @RicursiveAI

> Today we release Ripple-65B Preview, our 65B dense LLM we pretrained from scratch.
> 
> Ripple sets a new state-of-the-art for U.S. open-weight models in agentic coding tasks, surpassing significantly larger models including Muse Spark Open-816B, Beam-501B, Inkling-975B, and Nemotron 3 Ultra-550B.
> 
> Learn more: https://www.ricursive.com/ripple

https://x.com/RicursiveAI/status/2118046765857546733