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Ember-1

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Intro

Ember-1 is a specialized LLM from Fireworks Research, offered as a research preview on Fireworks Serverless. The blog post at https://fireworks.ai/blog/ember-1 positions it for Kimi K3-level quality while using about 40% fewer tokens—trading length for efficiency on the quality-vs-cost frontier.

It is not Meta’s Muse Ember. Ember-1 is Fireworks’ own model name; Muse Ember is a separate Meta / OpenRouter listing already covered elsewhere on FastToolHub.

Highlights:

  • Fireworks-owned model proper name; live blog at fireworks.ai/blog/ember-1;
  • Target: roughly Kimi K3 quality at substantially fewer tokens (~40% reduction claimed);
  • Research preview on Fireworks Serverless;
  • Public eval framing vs GPT-6 Astra, Claude Opus, GLM and similar frontier SKUs;
  • Distinct product from Meta Muse Ember—do not merge the two leads.

Explain

Why it matters

Token efficiency is often the real bill for agent and coding workloads. If Ember-1 can hold near–Kimi K3 quality while emitting fewer tokens, it sits on a useful cost/latency frontier for Fireworks customers who already route through Serverless.

Fireworks publishing a named research model (rather than only hosting third-party weights) signals continued first-party model work alongside their inference platform. Clear naming matters for search and ops: teams comparing “Ember” must distinguish Fireworks Ember-1 from Meta Muse Ember.

Limits

Research preview means APIs, pricing, and eval tables can change; re-read the Fireworks blog and console before production bets. “~40% fewer tokens” and Kimi K3-level claims are vendor-reported—verify on your own tasks. Do not assume parameter counts, context window, or multimodal support beyond what Fireworks documents. Never confuse Ember-1 with Muse Ember (muse-ember / meta/muse-ember).

Usage

  1. Read https://fireworks.ai/blog/ember-1 and confirm the current Serverless model id and preview limits;
  2. Call Ember-1 through Fireworks Serverless on a sample of your agent/coding prompts;
  3. Compare quality and token counts against your baseline (e.g. Kimi K3 or other frontier SKUs you already use);
  4. Keep routing tables explicit: ember-1 (Fireworks) ≠ muse-ember (Meta); update docs so operators do not mix them.

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