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SQL · 5 checks · max 500 tokens · benched 2026-09-16

GLM 5.3 vs GLM 5.2 vs GLM 5.3 Flash on monthly active users

Z Ai models side by side on "Monthly active users": GLM 5.3 Flash scores 10/10; GLM 5.3 Flash is the cheapest answer scoring 8+ at $0.02 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

Table: events(user_id, event_type, occurred_at). Write one PostgreSQL query returning, for each calendar month of 2025, the month (as the first day of that month) and the number of distinct users who had at least one event in that month, ordered by month ascending.

Rubric for the judge: Uses date_trunc('month', occurred_at), COUNT(DISTINCT user_id), a 2025 filter, grouped and ordered by month.

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.

GLM 5.3

z-ai/glm-5.3

10/10
Latency
296ms
Cost
$0.00040
Per 1,000
$0.40

88 in · 62 out · 27 words · checks 5/5

  • regex
  • regex
  • regex
  • regex
  • contains
SELECT DATE_TRUNC('month', occurred_at)::date AS month, COUNT(DISTINCT user_id) AS distinct_users FROM events WHERE occurred_at >= DATE '2025-01-01' AND occurred_at < DATE '2026-01-01' GROUP BY 1 ORDER BY 1;

Judge: Query correctly uses DATE_TRUNC('month', occurred_at), COUNT(DISTINCT user_id), filters for 2025, groups by month, orders ascending, and returns the first day of each month as requested.

GLM 5.2

z-ai/glm-5.2

10/10
Latency
1.6s
Cost
$0.00037
Per 1,000
$0.37

88 in · 160 out (85 reasoning) · 31 words · checks 5/5

  • regex
  • regex
  • regex
  • regex
  • contains
```sql
SELECT DATE_TRUNC('month', occurred_at)::date AS month,
       COUNT(DISTINCT user_id) AS distinct_users
FROM events
WHERE occurred_at >= DATE '2025-01-01' AND occurred_at < DATE '2026-01-01'
GROUP BY DATE_TRUNC('month', occurred_at)
ORDER BY month ASC;
```

Judge: Query correctly uses date_trunc('month', occurred_at), COUNT(DISTINCT user_id), filters for 2025, groups and orders by month, and casts to date to return the first day of each month as required.

GLM 5.3 Flash

z-ai/glm-5.3-flash

10/10
top judge scorecheapest scoring 8+
Latency
322ms
Cost
$2.4e-5
Per 1,000
$0.02

88 in · 68 out · 27 words · checks 5/5

  • regex
  • regex
  • regex
  • regex
  • contains
SELECT date_trunc('month', occurred_at)::date AS month, COUNT(DISTINCT user_id) AS active_users FROM events WHERE occurred_at >= '2025-01-01' AND occurred_at < '2026-01-01' GROUP BY date_trunc('month', occurred_at) ORDER BY month ASC;

Judge: Query correctly uses date_trunc('month', occurred_at), COUNT(DISTINCT user_id), filters for 2025, groups and orders by month, and casts to date to return the first day of each month as required.

Frequently asked

What does this prompt test?

SQL: Uses date_trunc('month', occurred_at), COUNT(DISTINCT user_id), a 2025 filter, grouped and ordered by month. The deterministic checks are 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, GLM 5.3 Flash at $0.02 per 1,000 runs. If you need the top score, GLM 5.3 Flash at $0.02 per 1,000 runs.

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