Code fix · 4 checks · max 600 tokens · benched 2026-09-16
Meta models side by side on "Parameterise a SQL query in Python": Llama 4 Scout scores 10/10; Llama 4 Scout is the cheapest answer scoring 8+ at $0.02 per 1,000 runs. Outputs, checks, judge reasons, latency and cost.
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.
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.
meta/muse-spark-1.3
0 in · 0 out · 0 words · checks 0/4
(empty output)
Judge: —
meta/muse-glimmer-30b
110 in · 138 out (96 reasoning) · 18 words · checks 3/4
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.
meta-llama/llama-4-maverick
97 in · 41 out · 20 words · checks 3/4
```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.
meta-llama/llama-4-scout
97 in · 41 out · 20 words · checks 3/4
```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.
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.
If the judge's bar of 8/10 is good enough for you, Llama 4 Scout at $0.02 per 1,000 runs. If you need the top score, Llama 4 Scout at $0.02 per 1,000 runs.
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