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SQL · 6 checks · max 500 tokens · benched 2026-09-16

MiniMax M3 vs MiniMax M2.7 vs MiniMax M2.5 on top five customers by 2025 spend

Minimax models side by side on "Top five customers by 2025 spend": MiniMax M3 scores 10/10; MiniMax M3 is the cheapest answer scoring 8+ at $0.27 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.

The prompt every model received

System

You are a database engineer. Reply with a single SQL statement and nothing else.

User

Tables: customers(id, name) and orders(id, customer_id, amount, ordered_at). Write one standard SQL query that returns each customer's name and their total order amount for calendar year 2025, highest total first, limited to the top 5. Use a JOIN, GROUP BY and ORDER BY.

Rubric for the judge: Correct join and aggregate, filters ordered_at to 2025, sorts descending, limits to 5, portable SQL.

Side by side

Every cell is one OpenRouter call at temperature 0 with the prompt's token cap and reasoning effort "low" where the model supports it. Cost is usage × the catalogue rate in models.json. Quality is one judge call to anthropic/claude-haiku-4.5 against the prompt's rubric, cached per prompt version.

MiniMax M3

minimax/minimax-m3

10/10
top judge scorecheapest scoring 8+
Latency
886ms
Cost
$0.00027
Per 1,000
$0.27

248 in · 190 out (110 reasoning) · 37 words · checks 6/6

  • regex
  • regex
  • regex
  • regex
  • regex
  • contains
```sql
SELECT c.name, SUM(o.amount) AS total_amount
FROM customers c
JOIN orders o ON c.id = o.customer_id
WHERE o.ordered_at >= DATE '2025-01-01' AND o.ordered_at < DATE '2026-01-01'
GROUP BY c.id, c.name
ORDER BY total_amount DESC
LIMIT 5;
```

Judge: Query correctly joins customers and orders, filters 2025 using portable DATE syntax, groups by customer with proper aggregation, orders descending by total, limits to 5, and includes all required clauses.

MiniMax M2.7

minimax/minimax-m2.7

10/10
Latency
3.2s
Cost
$0.00044
Per 1,000
$0.44

92 in · 345 out (282 reasoning) · 31 words · checks 6/6

  • regex
  • regex
  • regex
  • regex
  • regex
  • contains


SELECT c.name,
       SUM(o.amount) AS total_amount
FROM customers c
JOIN orders o ON c.id = o.customer_id
WHERE EXTRACT(YEAR FROM o.ordered_at) = 2025
GROUP BY c.id, c.name
ORDER BY total_amount DESC
LIMIT 5;

Judge: Query correctly joins customers and orders, filters 2025 using EXTRACT(YEAR FROM ...), groups by customer with proper aggregation, orders descending by total, limits to 5, and uses portable standard SQL syntax.

MiniMax M2.5

minimax/minimax-m2.5

10/10
Latency
668ms
Cost
$0.00046
Per 1,000
$0.46

94 in · 403 out (327 reasoning) · 33 words · checks 6/6

  • regex
  • regex
  • regex
  • regex
  • regex
  • contains
SELECT c.name, SUM(o.amount) AS total_amount
FROM customers c
JOIN orders o ON c.id = o.customer_id
WHERE o.ordered_at >= '2025-01-01' AND o.ordered_at < '2026-01-01'
GROUP BY c.id, c.name
ORDER BY total_amount DESC
LIMIT 5;

Judge: Query correctly joins customers and orders, filters 2025 using date range, groups by customer with proper aggregation, orders descending by total, limits to 5, and uses portable standard SQL syntax.

Frequently asked

What does this prompt test?

SQL: Correct join and aggregate, filters ordered_at to 2025, sorts descending, limits to 5, portable SQL. The deterministic checks are regex, regex, regex, regex, regex, contains.

Which model should I pick for this task?

If the judge's bar of 8/10 is good enough for you, MiniMax M3 at $0.27 per 1,000 runs. If you need the top score, MiniMax M3 at $0.27 per 1,000 runs.

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