Fireworks makes Rune, a 26B decision model, live on serverless
Overview
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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Sophia Yang@sophiamyangXRune, a 26B-parameter System One decision model, launches on Fireworks AIAIRune 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.
Fireworks@FireworksAI_HQOfficialFireworks launches Rune, a 26B decision model for serverless useAIFireworks 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.

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