Ember-1 vs Kimi K3

Ember-1 and Kimi K3 share a rate card because Ember-1 is literally built from Kimi K3: Fireworks AI post-trained Moonshot's July 2026 flagship to think in fewer tokens without giving up the reasoning that matters, then released it September 23, 2026 at the identical $3 per million input tokens and $15 output, on the same 1,048,576 token context window. The entire case for switching is efficiency rather than price. Fireworks says Ember-1 uses roughly 40 percent fewer reasoning tokens than K3 for comparable quality, with live A/B testing landing nearer 35 percent fewer tokens per task, and its own comparison table has Ember-1 essentially matching K3 on the benchmarks it chose to run: 82.0 against 80.9 on Terminal-Bench 2.1, 92.2 against 93.2 on SWE-bench Verified. That last pair is worth reading carefully, because the two numbers are not sourced the same way. Kimi K3's SWE-bench Verified score of 93.4 is independently measured by Vals AI, and K3 carries rows on seven more tracked benchmarks, three of them independent (MMLU-Pro and Terminal-Bench 4.0 from Vals, FrontierCode from Cognition) and four of them Moonshot's own (GPQA Diamond, BrowseComp, OSWorld 2.0, and Humanity's Last Exam with tools); Ember-1's 92.2 is Fireworks' own vendor figure, and no independent evaluator has scored the model yet. Weight availability splits the same way. Kimi K3 ships open MXFP4 weights, the largest open-weight release anyone has shipped, though running it at 4-bit still needs roughly 1,450GB of VRAM; Ember-1 is API-only through Fireworks Serverless with no weights published, so self-hosting is not an option regardless of hardware. If the token-efficiency claim holds on your workload, Ember-1 is a straightforward cost cut at the same rate card. If you need a number a third party has already checked, K3 is still the one with the paper trail.