# Rune, a 26B-parameter System One decision model, launches on Fireworks AI

> Original title: New @runedotgl System One decision model 26B parameters 4B active 🎆

- Source: Sophia Yang
- Published: 2026-10-29T23:21:05.000Z
- Bad Influence: https://badinfluence.news/items/y2hg2of0lmpl06a5ous9f7qm0
- Original: https://x.com/sophiamyang/status/2115947055176642909

## Summary

Rune is a System One decision model from Rune (@runedotgl) with 26B total parameters and 4B active per token, now live on Fireworks serverless. Per Fireworks AI, it reads a document once and answers up to 256 multiple-choice, true/false, or graded-scale questions in one pass, each with a calibrated probability. Pricing is $0.042 per 1M input tokens, $0.008 cached, and $0 output, with median server-side latency under 150ms and a 262K text-only context.

## Post

New @runedotgl System One decision model 26B parameters 4B active 🎆

## Quoted post @FireworksAI_HQ

> @runedotgl is live on Fireworks serverless.
> 
> It's a System One decision model: 26B parameters of pretrained knowledge, only 4B active per token. It doesn't reason or generate text. It reads a document once and answers up to 256 questions (multiple choice, true/false, graded scale) in a single pass, each with a calibrated probability.
> 
> → Median latency under 150ms, measured server-side
> → 262K context, text only
> → $0.042/1M input, $0.008 cached, $0 output
> → Serverless or on-demand deployments
> 
> Try it out → http://fireworks.ai/models/fireworks/rune

https://x.com/FireworksAI_HQ/status/2115943233281044786