Code fix · 4 checks · max 600 tokens · benched 2026-09-16

MiniMax M3 vs MiniMax M2.7 vs MiniMax M2.5 on parameterise a sql query in python

Minimax models side by side on "Parameterise a SQL query in Python": MiniMax M3 scores 10/10; MiniMax M3 is the cheapest answer scoring 8+ at $0.12 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.

The prompt every model received

System

You are a senior engineer. Reply with code only unless asked otherwise.

User

This sqlite3 code is vulnerable to SQL injection. Rewrite it to use a parameterised query with sqlite3's ? placeholder. Return the complete corrected function only.

def find_user(cursor, email):
    query = f"SELECT id, name FROM users WHERE email = '{email}'"
    cursor.execute(query)
    return cursor.fetchone()

Rubric for the judge: Uses execute(sql, (email,)) with a ? placeholder, keeps the same columns and return, no string formatting left.

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: 1.1s
Cost: $0.00012
Per 1,000: $0.12

252 in · 63 out (25 reasoning) · 20 words · checks 3/4

contains
regex
not_contains
not_contains

```python
def find_user(cursor, email):
    query = "SELECT id, name FROM users WHERE email = ?"
    cursor.execute(query, (email,))
    return cursor.fetchone()
```

Judge: The output correctly uses parameterised query with ? placeholder, execute(query, (email,)) syntax, maintains identical SELECT columns and return statement, eliminates all string formatting, and provides only the corrected function as requested.

MiniMax M2.7

minimax/minimax-m2.7

10/10

Latency: 928ms
Cost: $0.00014
Per 1,000: $0.14

96 in · 95 out (53 reasoning) · 20 words · checks 3/4

contains
regex
not_contains
not_contains



```python
def find_user(cursor, email):
    query = "SELECT id, name FROM users WHERE email = ?"
    cursor.execute(query, (email,))
    return cursor.fetchone()
```

Judge: The output correctly uses parameterised query with ? placeholder, passes email as tuple parameter, maintains identical SELECT columns and return statement, eliminates all string formatting, and provides only the corrected function as requested.

MiniMax M2.5

minimax/minimax-m2.5

10/10

Latency: 728ms
Cost: $0.00015
Per 1,000: $0.14

96 in · 110 out (68 reasoning) · 20 words · checks 3/4

contains
regex
not_contains
not_contains

```python
def find_user(cursor, email):
    query = "SELECT id, name FROM users WHERE email = ?"
    cursor.execute(query, (email,))
    return cursor.fetchone()
```

Frequently asked

What does this prompt test?

Code fix: Uses execute(sql, (email,)) with a ? placeholder, keeps the same columns and return, no string formatting left. The deterministic checks are contains, regex, not_contains, not_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 $0.12 per 1,000 runs. If you need the top score, MiniMax M3 at $0.12 per 1,000 runs.

Same prompt, other families

Run it yourself

Re-run this prompt on Minimax with your own OpenRouter key, or tweak the wording and see what changes.

Side by side

MiniMax M3

MiniMax M2.7

MiniMax M2.5

Frequently asked

Same prompt, other families

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