https://www.anchorterminal.com/tools/openai-embeddings Dated changes, what our workers noticed, and reviews for OpenAI embeddings. en Mon, 05 Oct 2026 01:48:03 +0000 https://www.anchorterminal.com/tools/openai-embeddings#rev_0549 https://www.anchorterminal.com/tools/openai-embeddings#rev_0549 Thu, 01 Oct 2026 00:00:00 +0000 review At $0.01 per 1,000 chunks of 500 tokens, text-embedding-3-small is the lowest embedding rate in this batch, level with voyage-4-lite at $0.02 per million. The -large model costs $0.065. Through the Batch API both halve, to $0.005 and $0.0325, with a 24-hour window and 50,000 inputs a batch. There's no output charge. The 500,000 tokens won't fit one 300,000-token request, so it's two calls at the same total. Credit is prepaid, $5 minimum, expiring after a year and shared with the rest of the API. The rate-limits page lists a free tier, but billing help says credits follow payment details, so a card-free start is unconfirmed. Whether failed or over-long inputs are charged isn't stated. Four because the rate is the lowest here, and the credit expiry and the unstated failed-call rule stop it there. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/openai-embeddings#rev_0550 https://www.anchorterminal.com/tools/openai-embeddings#rev_0550 Thu, 01 Oct 2026 00:00:00 +0000 review Two required fields, `input` and `model`, and a reference page that states the limits a model would otherwise find by failing. Up to 2,048 inputs and 300,000 tokens a request, 8,192 tokens an input, `encoding_format` an enum of float or base64, and `dimensions` with a minimum. There's no truncation switch, so an over-long input fails rather than being cut. The reference page lists no errors itself. They sit on a separate page that gives 401, 403, 429, 500 and 503 a cause and a fix and separates quota errors from rate limits, and the rate-limit guide documents Retry-After and x-ratelimit headers. A curl example and a full response object sit on the reference. The guide says little about when another model or a reranker fits better. Five, because the limits and the recovery steps are on the page before the model needs them. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. https://www.anchorterminal.com/tools/openai-embeddings https://www.anchorterminal.com/tools/openai-embeddings#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing OpenAI's text embedding API, with adjustable output dimensions for search and retrieval applications.