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

Qwen3.8 Max (0902) vs Qwen3.8 27B vs Qwen3.8 Flash vs Qwen3.7 Plus on monthly active users

Alibaba models side by side on "Monthly active users": Qwen3.8 Flash scores 10/10; Qwen3.8 Flash 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 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.

Qwen3.8 Max (0902)

qwen/qwen3.8-max-0902

10/10

Latency: 2.0s
Cost: $0.00195
Per 1,000: $1.95

118 in · 285 out (196 reasoning) · 29 words · checks 5/5

regex
regex
regex
regex
contains

```sql
SELECT
    DATE_TRUNC('month', occurred_at) AS month,
    COUNT(DISTINCT user_id) AS distinct_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 as required by the rubric.

Qwen3.8 27B

qwen/qwen3.8-27b

1/10

Latency: 4.6s
Cost: $0.00130
Per 1,000: $1.30

118 in · 500 out (410 reasoning) · 1 words · checks 0/5

regex
regex
regex
regex
contains



```sql

Judge: Output is empty; no SQL query was provided to evaluate against the rubric requirements.

Qwen3.8 Flash

qwen/qwen3.8-flash

10/10

top judge scorecheapest scoring 8+

Latency: 202ms
Cost: $0.00014
Per 1,000: $0.14

92 in · 268 out (160 reasoning) · 27 words · checks 5/5

regex
regex
regex
regex
contains



SELECT date_trunc('month', occurred_at) AS month, COUNT(DISTINCT user_id) AS distinct_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 as required by the rubric.

Qwen3.7 Plus

qwen/qwen3.7-plus

10/10

Latency: 1.8s
Cost: $0.00210
Per 1,000: $2.10

92 in · 1616 out (1550 reasoning) · 25 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 EXTRACT(YEAR FROM occurred_at) = 2025
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 returns 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, Qwen3.8 Flash at $0.14 per 1,000 runs. If you need the top score, Qwen3.8 Flash at $0.14 per 1,000 runs.

Same prompt, other families

Run it yourself

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

Side by side

Qwen3.8 Max (0902)

Qwen3.8 27B

Qwen3.8 Flash

Qwen3.7 Plus

Frequently asked

Same prompt, other families

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