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Ember-1 matches Kimi K3 quality with 40% fewer tokens, Fireworks says

fireworks.ai 7 min read Editor score 7/10

Fireworks says its model, built on Kimi K3, preserves answer quality while using 40% fewer tokens, including in customer tests and coding and agent workloads. Lower token use can reduce serving costs for model-backed products.

What

Ember-1 is a Fireworks Research model built on Kimi K3 to reduce unnecessary reasoning while retaining answer quality.

How

Fireworks reports matching Kimi K3 quality with 40% fewer tokens across benchmarks, customer A/B tests, and its own workloads.

Why it matters

Fewer reasoning tokens can lower costs in multi-turn agent workloads, where prior reasoning is replayed on later calls.

Read on fireworks.ai → Hacker News · 202 comments

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