Cost Calculator

How much does data extraction cost?

Compare 14 AI models for data extraction. Prices shown at 10K calls/month with default token counts.

Data extraction tasks parse unstructured text into structured output like JSON formats. Input includes the raw document that the model processes for structured data. Output is compact and well-structured, keeping output token costs relatively low overall.

What drives data extraction cost

Extraction is input-heavy and output-light (the raw document goes in, structured fields come out), which makes it one of the cheapest tasks per unit of value on this list. Output is small enough that output pricing is nearly irrelevant. Cost tracks document size, so the lever is sending only the pages that contain the fields you want.

Recommendations

Top picks for data extraction

Best quality

GPT 5.4

89/100 confidence

Best value

GPT 5.6 Luna

89/100 confidence · $16/mo

Frequently asked questions

How much does data extraction cost per API call?

Extraction is input-heavy and output-light (the raw document goes in, structured fields come out), which makes it one of the cheapest tasks per unit of value on this list. Output is small enough that output pricing is nearly irrelevant. Cost tracks document size, so the lever is sending only the pages that contain the fields you want. Across the 14 models we track, a typical call uses about 4,000 input and 1,000 output tokens.

What is the cheapest model for data extraction?

GPT 5.6 Luna from GPT is the lowest-cost model we track for data extraction, at roughly $16.00 for 10,000 calls per month. It scores 89 out of 100 on this task type.

Which model is best for data extraction?

GPT 5.4 from GPT ranks highest for data extraction, scoring 89 out of 100. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

See your real data extraction costs

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