{
  "id": 10264004,
  "title": "Ember-1",
  "url": "https://urgent.news/2026/09/27/ember-1",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-27T17:31:53.000Z",
  "source": {
    "name": "Hacker News",
    "slug": "hacker-news",
    "url": "https://fireworks.ai/blog/ember-1"
  },
  "original_language": "en",
  "account": "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.\n\nThe 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.",
  "summary": null,
  "key_points": [
    "Ember-1 model retains Kimi K3 quality with 40% fewer tokens",
    "Fireworks Research develops specialized models for efficient coding",
    "Ember-1 outperforms K3-max and outperforms GPT-6 Astra in benchmarks"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}