Ember-1

Fireworks Research introduced Ember-1, a specialized model that retains the quality of Kimi K3 while consuming 40% fewer tokens. This new model was developed by cutting unnecessary reasoning within the AI process while preserving essential thought processes. Ember-1 underwent extensive testing on external benchmarks, live customer A/B tests, and Fireworks' own coding and agent workloads, maintaining its quality in every setting.

Available now, Ember-1 marks the beginning of a series of specialized models from Fireworks Research, designed based on developers' needs for efficient coding capabilities at a lower cost. Fireworks' team conducted over 50 training experiments and 200 evaluations to train the model, leveraging Fireworks Serverless Training to swiftly turn research into a launch within a fraction of the usual time and cost.

The Specialized Intelligence Index (SII) was used to benchmark Ember-1 against public and closed models across various tasks. Ember-1 demonstrated superior performance, setting a new Pareto frontier for Bedside Bench, a physician-validated benchmark across 500 clinical cases. Additionally, Ember-1 outperformed K3-max quality while delivering 35-50% fewer tokens in cost-effectiveness tests, surpassing GPT-6 Astra, Claude Opus-5, and GLM 5.3 in the Pareto frontier results.

Fireworks' real-world testing confirmed Ember-1's effectiveness in production environments, with notable token savings of approximately 35% in two customers' coding workloads.