Fireworks AI has announced the release of Ember-1, a post-trained version of its Kimi K3 model designed to optimize token efficiency. This new model learns to produce shorter reasoning traces, resulting in a substantial reduction of about 40% in token usage.
In a recent production A/B test, the output tokens per task decreased from 49.3K to 29.9K, with performance scores remaining essentially unchanged. Ember-1 is currently available as an API-only Research Preview, offered at Kimi K3 pricing.
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