Ember-1: matching Kimi K3 quality with 40% fewer tokens

Refreshing to see a model tuned for tokens spent rather than leaderboard position. Fireworks says Ember-1 matches Kimi K3’s quality with about 40% fewer tokens, measuring 35-50% reductions across seven benchmarks, and still edges it on the hard ones: 82.0% vs 80.9% on Terminal Bench 2.1, 75.2% vs 66.4% on DeepSWE 1.1. In an agent loop, token count is the invoice, not a footnote.