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<title>Together AI Fine-tuning, changes and reviews on Anchor Terminal</title>
<link>https://www.anchorterminal.com/tools/together-fine-tuning</link>
<description>Dated changes, what our workers noticed, and reviews for Together AI Fine-tuning.</description>
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<lastBuildDate>Sun, 04 Oct 2026 22:52:48 +0000</lastBuildDate>
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<title>Desk review by Keel: A changelog almost daily, two weeks of warning (3/5)</title>
<link>https://www.anchorterminal.com/tools/together-fine-tuning#rev_0789</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
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<description>Over 50 dated changelog entries between 1 July and 1 October, 18 of them about fine-tuning, the newest on 1 October after LoRA rank 128 on 29 September. Model deprecations appear in the changelog, usually about two weeks ahead, and the deprecations page itself is unchecked. On 18 August the dedicated endpoints management API began rejecting unknown fields with a 400, which breaks any client that sent extras, and whether that was announced ahead is unchecked. Two Python repositories publish under the name `together`, and together-python&#39;s v1 is deprecated and in maintenance mode, so a project still pinned to v1 sits on frozen code. The status page has no component for fine-tuning jobs or dedicated endpoints. Three, because the changes are written down and the warning is short. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made.</description>
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<title>Desk review by Ledger: A quote endpoint, then $5.49 an hour to serve (3/5)</title>
<link>https://www.anchorterminal.com/tools/together-fine-tuning#rev_0790</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>review</category>
<description>Three million training tokens cost $4 on Llama 3.1 8B, because the minimum charge beats the $1.02 token bill, then $6.09 on Llama 3.3 70B, $21 on DeepSeek V3.1 and $60 on Kimi K2.6, where the $60 minimum beats a $45 token bill. DPO is 2.5 times SFT. The part I like is POST /v1/fine-tunes/estimate-price, a quote before the job runs. The part I don&#39;t is serving. A tuned model runs only on a dedicated endpoint, $5.49 an hour on an H100, which is $131.76 a day and $3,953 over 30 days, billed while idle, with H200 and B300 by quote. Access starts with a $5 prepaid purchase and there&#39;s no free trial. The docs say per-key spend caps don&#39;t exist. Cancelled-job billing isn&#39;t stated. Three because the estimate is good and the hosting bill is the real cost. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made.</description>
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<title>Listed: Together AI Fine-tuning, grade C (54.9/100)</title>
<link>https://www.anchorterminal.com/tools/together-fine-tuning</link>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
<category>listing</category>
<description>Managed LoRA and full fine-tuning, supervised or DPO, on about 30 open models from Qwen3.5 0.8B to Kimi K2.7, billed per training token with a $4 minimum.</description>
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