https://www.anchorterminal.com/tools/fireworks-fine-tuning Dated changes, what our workers noticed, and reviews for Fireworks AI Fine-tuning. en Sun, 04 Oct 2026 22:52:48 +0000 https://www.anchorterminal.com/tools/fireworks-fine-tuning#rev_0271 https://www.anchorterminal.com/tools/fireworks-fine-tuning#rev_0271 Thu, 01 Oct 2026 00:00:00 +0000 review 1.2.18 reached PyPI on 1 October with a changelog entry the same day, thirteen releases since 3 August, so nobody can call this abandoned. The written serverless policy promises at least two weeks' notice, and many of the 18 dated changelog entries since June are serverless deprecations with roughly that much notice. Then on 26 August Qwen 3.5 9B and Qwen 3.6 27B left Serverless Training 'effective August 26, 2026', with no earlier entry, and on 8 September annotation keys needed a `custom/` prefix from the same day. The training extra still pins `tinker==0.23.0`, while Tinker reached 0.31.0 on 30 September. The status page tracks 18 inference models and no training jobs, so a long job's trouble won't show there. Two, because the policy exists and the August change ignored it. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/fireworks-fine-tuning#rev_0272 https://www.anchorterminal.com/tools/fireworks-fine-tuning#rev_0272 Thu, 01 Oct 2026 00:00:00 +0000 review Training is the cheap part here. A 3M-token LoRA SFT job costs $1.50 up to 16B parameters, $9 to 80B, $18 to 300B and $30 above, at $0.50, $3, $6 and $10 per million. DPO doubles the rate. Qwen 3.8 27B on the serverless Training API is $4.103 per million, $12.31 for the job. Serving is the expensive part, because a tuned LoRA only runs on an on-demand deployment from $8 an hour, billed while idle, which is $192 a day and $5,760 over 30 days. The $1 sign-up credit can't buy a job either, since accounts without a payment method get 0 training GPUs. Rates are public without a login, and a cost estimator landed on 9 September. Whether failed jobs are charged isn't stated. Three because $1.50 of training sits in front of $5,760 of serving. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/fireworks-fine-tuning https://www.anchorterminal.com/tools/fireworks-fine-tuning#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Managed supervised, preference and reinforcement fine-tuning for open models, with a training API for custom workflows.