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Fireworks AI launches Ember-1, a Kimi K3 variant using 40% fewer tokens

By PulseAugur Editorial · [1 sources] ·

Fireworks AI has introduced Ember-1, a model derived from Moonshot AI's Kimi K3. Ember-1 is designed to produce shorter reasoning traces, aiming to reduce token usage by approximately 40% without compromising task accuracy. This optimization is achieved through specialized post-training, rather than simply lowering inference effort settings. Ember-1 is currently available as a Research Preview via the Fireworks serverless API, with weights and training details not publicly released. AI

IMPACT This model's efficiency improvements could lower operational costs for AI applications relying on Kimi K3's capabilities.

RANK_REASON Fireworks AI is a frontier lab releasing a new model variant. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Fireworks AI launches Ember-1, a Kimi K3 variant using 40% fewer tokens

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Significant
Fireworks AI is a frontier lab releasing a new model variant. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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model release, product
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens

    <p>Fireworks AI has released Ember-1, a post-trained Kimi K3 that learns to produce shorter reasoning traces instead of lowering reasoning effort. Fireworks reports about 40% fewer tokens, with output tokens per task falling from 49.3K to 29.9K in a production A/B test at an esse…

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