OpenAI Embeddings Cost Calculator
Estimate the OpenAI Embeddings API bill. Pick text-embedding-3-small ($0.02/1M), 3-large ($0.13), or ada-002 ($0.10), enter monthly tokens (or chars/docs), and optionally toggle Batch (~50%). Add a one-time RAG ingest plus monthly query tokens to see first-month vs ongoing cost. Cost = tokens ÷ 1M × $/1M. Estimates only; official OpenAI pricing prevails.
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Corpus / monthly embed cost
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One-time ingest cost
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Monthly query embed cost
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First month (ingest + corpus + query)
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Ongoing monthly (corpus + query)
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Estimates only; official vendor pricing prevails (2026-10-30). Cost = tokens ÷ 1M × $/1M (Batch ≈ half). Chars/docs ≈ chars ÷ 4 tokens. First month = ingest + corpus + query; ongoing = corpus + query.Official pricing: OpenAI
Voyage AI Embedding Cost Calculator · RAG Cost Calculator · Gemini Embedding Cost Calculator · OpenAI Batch API Savings Calculator
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How it works
- How is OpenAI embeddings cost calculated?
- Cost = tokens ÷ 1M × $/1M. Example: text-embedding-3-small at $0.02/1M with 10M tokens → $0.20. With Batch half-price ($0.01/1M) → $0.10. Optional RAG: one-time ingest tokens + monthly query tokens; first month = ingest + corpus + query, ongoing = corpus + query.
- What are the current embedding prices?
- Official Specialized → Embedding: text-embedding-3-small $0.02/1M, text-embedding-3-large $0.13/1M, text-embedding-ada-002 $0.10/1M. Batch half rates used here: $0.01 / $0.065 / $0.05. The Specialized Batch table does not list embedding rows explicitly—Batch ≈ 50% follows the general Batch pattern.
- How do I convert characters or docs to tokens?
- Rough rule of thumb: tokens ≈ characters ÷ 4. Docs mode multiplies document count × average chars per doc, then ÷ 4. Replace with your tokenizer count when available.
- How does this relate to the RAG calculator?
- This page focuses on embedding spend (ingest + query vectors). The RAG cost calculator adds retrieval and generation LLM tokens for a full pipeline estimate.
- Are results billing-grade?
- No. Estimates only; official OpenAI pricing prevails.