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

Grok 4.6 vs Grok 4.5 vs Grok 4.20 vs Grok 4.3 on parameterise a sql query in python

xAI models side by side on "Parameterise a SQL query in Python": Grok 4.3 scores 10/10; Grok 4.3 is the cheapest answer scoring 8+ at $0.75 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.

Grok 4.6

x-ai/grok-4.6

10/10

Latency: 482ms
Cost: $0.00172
Per 1,000: $1.72

295 in · 189 out (148 reasoning) · 18 words · checks 3/4

contains
regex
not_contains
not_contains

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 columns and return statement, eliminates all string formatting, and provides only the corrected function as requested.

Grok 4.5

x-ai/grok-4.5

10/10

Latency: 287ms
Cost: $0.00075
Per 1,000: $0.75

295 in · 63 out (17 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.

Grok 4.20

x-ai/grok-4.20

10/10

Latency: 264ms
Cost: $0.00084
Per 1,000: $0.84

270 in · 255 out (216 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()
```

Grok 4.3

x-ai/grok-4.3

10/10

top judge scorecheapest scoring 8+

Latency: 274ms
Cost: $0.00075
Per 1,000: $0.75

276 in · 241 out (206 reasoning) · 18 words · checks 3/4

contains
regex
not_contains
not_contains

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, Grok 4.3 at $0.75 per 1,000 runs. If you need the top score, Grok 4.3 at $0.75 per 1,000 runs.

Same prompt, other families

Run it yourself

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

Side by side

Grok 4.6

Grok 4.5

Grok 4.20

Grok 4.3

Frequently asked

Same prompt, other families

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