OpenAI File Search Cost Calculator
Estimate OpenAI File Search spend. Enter vector-store GB and days (storage $0.10/GB/day after 1 GB free) plus monthly tool calls ($2.50 per 1k on the Responses API). Optionally overlay model input/output tokens. Cost = max(0, GB − 1) × days × $0.10 + calls/1k × $2.50. Estimates only; official OpenAI pricing prevails.
Math runs in your browser. Nothing is uploaded.
Optional model token overlay
Billable GB (after free)
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Storage cost
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Tool call cost
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Overlay token USD
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Monthly USD
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Estimates only; official vendor pricing prevails (2026-10-30). Storage = max(0, GB − free) × days × $0.10; calls = count/1k × $2.50 (Responses API). Optional model token overlay.Official pricing: OpenAI
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How it works
- How is File Search cost calculated?
- Storage = max(0, GB − 1) × days × $0.10. Tool calls = calls ÷ 1,000 × $2.50 (Responses API). Example: 5 GB for 30 days + 10,000 calls → 4 × 30 × $0.10 = $12 storage + $25 calls = $37 (before model tokens).
- Does the 1 GB free apply every month?
- Official wording is 1 GB free for File Search storage on the account. Confirm current free-tier wording on OpenAI’s Tools pricing table; this calculator exposes an editable free-GB field.
- Are model tokens included?
- File Search storage and tool-call fees are separate from the model’s input/output tokens. Use the optional overlay (or the OpenAI token calculator) for LLM spend.
- How does this relate to embeddings and RAG?
- Embeddings build vectors; File Search bills hosted storage + retrieval tool calls. The RAG calculator models a fuller ingest/query/generation pipeline.
- Are results billing-grade?
- No. Estimates only; official OpenAI Tools → File search pricing prevails.