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-small-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

Find the name of the dealership that has the highest total revenue from vehicle sales

Expected output

SELECT d.name FROM dealerships d JOIN sales s ON d.branch_id = s.branch_id GROUP BY d.name ORDER BY SUM(s.sale_price) DESC LIMIT 1;

Model output

SELECT name FROM dealerships d JOIN sales s ON d.branch_id = s.branch_id JOIN vehicles v ON s.vehicle_id = v.vehicle_id GROUP BY d.name, d.branch_id, v.price, s.sale_price ORDER BY SUM(v.price + s.sale_price) DESC LIMIT 1;