SQL · 4 checks · max 500 tokens · benched 2026-09-16

GLM 5.3 vs GLM 5.2 vs GLM 5.3 Flash on products over 100 units with having

Z Ai models side by side on "Products over 100 units with HAVING": 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

Tables: products(id, name) and order_items(product_id, quantity). Write one standard SQL query that lists product names whose total quantity sold across all order_items is greater than 100. Filter the aggregate with a HAVING clause.

Rubric for the judge: Join, SUM(quantity), GROUP BY product, HAVING > 100; returns names only; no WHERE on the aggregate.

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: 299ms
Cost: $0.00026
Per 1,000: $0.26

76 in · 34 out · 19 words · checks 4/4

regex
regex
regex
regex

SELECT p.name FROM products p JOIN order_items oi ON p.id = oi.product_id GROUP BY p.name HAVING SUM(oi.quantity) > 100;

Judge: Query correctly joins tables, groups by product name, uses SUM(quantity) in HAVING clause to filter aggregates > 100, returns only names, and contains no WHERE clause on the aggregate.

GLM 5.2

z-ai/glm-5.2

10/10

Latency: 421ms
Cost: $0.00018
Per 1,000: $0.18

76 in · 65 out (27 reasoning) · 21 words · checks 4/4

regex
regex
regex
regex

```sql
SELECT p.name FROM products p JOIN order_items oi ON p.id = oi.product_id GROUP BY p.name HAVING SUM(oi.quantity) > 100;
```

Judge: Query correctly joins products and order_items, groups by product name, uses HAVING with SUM(quantity) > 100, returns only names, and contains no WHERE clause filtering the aggregate.

GLM 5.3 Flash

z-ai/glm-5.3-flash

10/10

top judge scorecheapest scoring 8+

Latency: 451ms
Cost: $1.6e-5
Per 1,000: $0.02

76 in · 41 out · 20 words · checks 4/4

regex
regex
regex
regex

SELECT p.name
FROM products p
JOIN order_items oi ON oi.product_id = p.id
GROUP BY p.id, p.name
HAVING SUM(oi.quantity) > 100;

Judge: Query correctly joins products and order_items, groups by product, uses HAVING with SUM(quantity) > 100, returns names only, and contains no WHERE clause on the aggregate.

Frequently asked

What does this prompt test?

SQL: Join, SUM(quantity), GROUP BY product, HAVING > 100; returns names only; no WHERE on the aggregate. The deterministic checks are regex, regex, regex, regex.

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.

Same prompt, other families

Run it yourself

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

Side by side

GLM 5.3

GLM 5.2

GLM 5.3 Flash

Frequently asked

Same prompt, other families

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