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-medium-2508-eu Task | Opper AI

Input Tokens

24446

Output Tokens

5567

Duration

138424.297

Cost

0

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