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Fireworks makes Rune, a 26B decision model, live on serverless

2 articles2 sourcessince Oct 29Last article 1h ago ·

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Fireworks says its Rune model is now live on serverless.

Rune is a System One decision model with 26B total parameters and 4B active per token, built by Rune (@runedotgl). Per Fireworks, it reads a document once and answers up to 256 multiple-choice, true/false, or graded questions, each with a calibrated probability.

Fireworks says median server-side latency is under 150ms and the text context is 262K tokens. Input is priced at $0.042 per 1M tokens, cached input at $0.008 per 1M tokens, and output at $0. Fireworks also lists serverless and on-demand deployments.

Written by AI from the articles below · updated Oct 29, 7:33 PM ET

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Oct 29
  1. Sophia YangX
    Rune, a 26B-parameter System One decision model, launches on Fireworks AI

    AIRune 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.

  2. FireworksOfficial
    Fireworks launches Rune, a 26B decision model for serverless use

    AIFireworks says its Rune model, a 26B-parameter System One decision model with 4B active per token, is live on serverless. It reads a document once and answers up to 256 multiple-choice, true/false, or graded questions, each with a calibrated probability. Median latency is under 150ms server-side, with a 262K text context and input priced at $0.042 per 1M tokens, $0.008 cached, and $0 for output.

    Image from @FireworksAI_HQ's post

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