Imagine an AI that gives you the exact same correct answer, just with way less rambling. That is exactly what Fireworks AI just shipped.
It is called Ember-1, a post-trained version of Kimi K3, and its whole job is to think just as hard while talking a lot less.
Here is the clever part. Most models that try to save tokens do it by cutting reasoning effort itself, basically thinking less to say less. Ember-1 does the opposite. It keeps the reasoning power intact and simply learns to compress how it expresses that reasoning.
The numbers back it up. In a real production A/B test, output tokens per task dropped from 49.3K to 29.9K, roughly a 40% cut, while the score stayed essentially unchanged.
Think of it like two engineers explaining the same bug fix. One takes ten minutes rambling through every thought. The other nails it in six minutes flat, skipping zero steps, losing zero accuracy.
That kind of token efficiency is not a nice-to-have. It directly translates into lower inference costs and faster response times at scale, which matters a lot once you are running millions of calls a day.
Ember-1 is available right now as an API-only Research Preview, priced exactly like Kimi K3. No premium for being leaner.
Sometimes the smartest upgrade in AI is not a bigger brain, it is a model that finally learns when to stop talking.
🔗 Original Source & Reference: https://www.marktechpost.com/2026/09/28/fireworks-ai-releases-ember-1-a-post-trained-kimi-k3-that-uses-about-40-fewer-tokens/
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