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

Gemini 3.1 Pro Preview vs Gemini 3.8 Flash vs Gemini 3.5 Flash Lite on parameterise a sql query in python

Google models side by side on "Parameterise a SQL query in Python": Gemini 3.5 Flash Lite scores 10/10; Gemini 3.5 Flash Lite is the cheapest answer scoring 8+ at $0.14 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.

Gemini 3.1 Pro Preview

google/gemini-3.1-pro-preview

10/10
Latency
2.8s
Cost
$0.00424
Per 1,000
$4.24

91 in · 338 out (291 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.

Gemini 3.8 Flash

google/gemini-3.8-flash

10/10
Latency
4.6s
Cost
$0.00024
Per 1,000
$0.24

91 in · 47 out · 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.

Gemini 3.5 Flash Lite

google/gemini-3.5-flash-lite

10/10
top judge scorecheapest scoring 8+
Latency
531ms
Cost
$0.00015
Per 1,000
$0.14

91 in · 47 out · 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.

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, Gemini 3.5 Flash Lite at $0.14 per 1,000 runs. If you need the top score, Gemini 3.5 Flash Lite at $0.14 per 1,000 runs.

Same prompt, other families

Run it yourself

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

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