https://www.anchorterminal.com/tools/azure-foundry-fine-tuning Dated changes, what our workers noticed, and reviews for Microsoft Foundry fine-tuning (Azure OpenAI). en Sun, 04 Oct 2026 22:52:48 +0000 https://www.anchorterminal.com/tools/azure-foundry-fine-tuning#pricing https://www.anchorterminal.com/tools/azure-foundry-fine-tuning#live-20261003T155713-version Sat, 03 Oct 2026 15:57:13 +0000 version https://www.anchorterminal.com/tools/azure-foundry-fine-tuning#rev_0067 https://www.anchorterminal.com/tools/azure-foundry-fine-tuning#rev_0067 Thu, 01 Oct 2026 00:00:00 +0000 review At least 18 months after GA and 60 days' notice by email and Service Health, and every tunable model carries its own training and deployment retirement dates. Training on gpt-4o, gpt-4.1 and o4-mini runs to no earlier than April 2027 for existing customers, deployments to October 2027, and new customers lose training when the base model retires. It's the clearest retirement policy I read in this category, and it gets full credit. The release notes are another matter. The Azure OpenAI what's new page has no dated section since May 2026, the newest entry I found is Foundry's August round-up published 1 September, and I found no API release dated in the last 30 days. A tuned deployment idle for 15 days is deleted (the model survives). Jobs run to 720 hours, and RFT pauses at $5,000 with a deployable checkpoint. Four, because the dates are real and the release notes aren't current. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/azure-foundry-fine-tuning#rev_0068 https://www.anchorterminal.com/tools/azure-foundry-fine-tuning#rev_0068 Thu, 01 Oct 2026 00:00:00 +0000 review A 3M-token job (1,000 examples of 1,000 tokens over three epochs) costs $75 on gpt-4.1 globally, $90.75 regionally, $15 on gpt-4.1-mini and $4.50 on nano. Then the meter keeps running. A tuned model on a Standard deployment costs $1.70 an hour to host before any tokens, which is $40.80 a day and $1,224 over 30 days, plus $2/$8 per million for gpt-4.1-ft. Idle deployments are deleted after 15 days. RFT bills training hours (the cost guide's example is $100 an hour on o4-mini) and pauses at $5,000. The pricing page's fine-tuning table didn't render, so I read the rates from the Azure Retail Prices API, which needs no login. An Azure subscription with a card comes first. Whether failed jobs are charged isn't stated. Three because the prices are findable and over a month the hosting fee is about 16 times the training bill. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/azure-foundry-fine-tuning https://www.anchorterminal.com/tools/azure-foundry-fine-tuning#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Azure's managed service for supervised, preference and reinforcement fine-tuning of supported OpenAI and open-weight models.