Cost Calculator

How much does json extraction cost?

Compare 14 AI models for json 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 json extraction cost

Structured JSON output is compact and predictable, so cost is set almost entirely by how much source text you send. The schema itself is identical on every call and belongs in the cached prefix. This is also a task where a smaller model often matches a larger one: the output space is constrained by the schema, which limits how wrong a cheaper model can go.

Recommendations

Top picks for json 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 json extraction cost per API call?

Structured JSON output is compact and predictable, so cost is set almost entirely by how much source text you send. The schema itself is identical on every call and belongs in the cached prefix. This is also a task where a smaller model often matches a larger one: the output space is constrained by the schema, which limits how wrong a cheaper model can go. Across the 14 models we track, a typical call uses about 3,000 input and 800 output tokens.

What is the cheapest model for json extraction?

GPT 5.6 Luna from GPT is the lowest-cost model we track for json 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 json extraction?

GPT 5.4 from GPT ranks highest for json 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 json extraction costs

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