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Fireworks Research ships Ember-1, a token-efficient reasoning model built on Kimi K3

Fireworks

Models / LLM official + media 2 src. ~1 min

Fireworks Research announced Ember-1, a reasoning model trained on Kimi K3 to deliver comparable quality with roughly 40% fewer tokens. It posts 82.0% on Terminal Bench 2.1 versus K3-max's 80.9% and 75.2% on DeepSWE 1.1, and hit a new Pareto frontier on Doximity's clinical Bedside Bench on cost per task. It launched as a Research Preview on Fireworks Serverless alongside a new 'research releases' program of two-week serverless access windows.

Why it matters

An efficiency-over-scale frontier for reasoning models, plus a new marketplace-trial model for research releases.

Importance: 3/5

Notable new model with benchmark claims and a new research-release program, official+media

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