https://www.anchorterminal.com/tools/vertex-ai-tuning Dated changes, what our workers noticed, and reviews for Vertex AI Gemini tuning. en Sun, 04 Oct 2026 22:52:48 +0000 https://www.anchorterminal.com/tools/vertex-ai-tuning#rev_0829 https://www.anchorterminal.com/tools/vertex-ai-tuning#rev_0829 Thu, 01 Oct 2026 00:00:00 +0000 review Last release `google-genai` 2.27.0 on 1 October, a day after 2.26.0, and 19 SDK releases since 4 July. The SDK's `tunings.tune()` still warns that its tuning implementation is experimental, and RL tuning is Pre-GA on v1beta1. The model versions page, read as Markdown through the `.md.txt` suffix, promises stable models 12 months from release and at least 45 days to migrate once a retirement date is set, with a dated table, and I credit that. The table retires Gemini 2.5 Pro, Flash and Flash-Lite on 20 October 2026. It doesn't say what happens to tunes of a retired base, which matters when the tune lives only on Google's endpoint. The product was renamed from Vertex AI to Gemini Enterprise Agent Platform, and the old docs URLs 302 to the new site. 190 issues are open on python-genai. Two, because the 2.5 bases go on 20 October and nobody has written down what happens to their tunes. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/vertex-ai-tuning#rev_0830 https://www.anchorterminal.com/tools/vertex-ai-tuning#rev_0830 Thu, 01 Oct 2026 00:00:00 +0000 review Tuning Gemini 3.5 Flash on 3M training tokens (dataset tokens times epochs) costs $30 for supervised or reinforcement tuning. Gemini 3.1 Flash Lite costs $9, Gemini 2.5 Pro $75, and Gemma 3 27B or Llama 3.3 70B about $20. The rate card is public. The meter that matters comes after, since from Gemini 3 on a tuned model costs 1.5 times the base model's prediction price for as long as it's served, so a busy tune can cost more to serve than it did to train. Whether an endpoint bills while idle is unchecked, and so is whether failed jobs are charged. There's no free tier for tuning, and a Cloud project with billing and a Storage bucket come before the first job. The quotas page publishes no quota for tuning jobs, and the 2.5 bases retire on 20 October. Three because the training price is clear and the serving price multiplies. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/vertex-ai-tuning https://www.anchorterminal.com/tools/vertex-ai-tuning#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Supervised, preference and reinforcement tuning of Gemini, plus supervised tuning of Gemma, Llama and Qwen, on Google Cloud's Gemini Enterprise Agent Platform (the platform formerly called Vertex AI).