Opper

SQL

Natural language to SQL query generation evaluates text-to-query fidelity and schema reasoning. This task is particularly relevant for analytics chat assistants and simplified database interfaces where users need to query data using natural language. Models must understand both the intent behind the question and the structure of the underlying database schema.

SQL – mistral/mistral-tiny-eu Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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Context

Input

List the top 5 most expensive services performed, showing vehicle make, model, and cost

Expected output

SELECT v.make, v.model, sr.cost FROM service_records sr JOIN vehicles v ON sr.vehicle_id = v.vehicle_id ORDER BY sr.cost DESC LIMIT 5;

Model output

SELECT vehicles.make, vehicles.model, service_records.cost FROM service_records JOIN vehicles ON service_records.vehicle_id = vehicles.vehicle_id GROUP BY vehicles.make, vehicles.model ORDER BY SUM(service_records.cost) DESC LIMIT 5