Is Glm 5.2 good at Data & Analytics?
Glm 5.2 ranks #41 of 110 for Data & Analytics — excellent. The top pick for this task is Minimax m3.
Best result with medium reasoning effort.
Glm 5.2 on each Data & Analytics sub-task
| SQL Reasoning | 100.0/100 | #6 |
| Spot the Misleading Stat | 100.0/100 | #11 |
| Metric Calculation | 97.8/100 | #53 |
| Honest Communication | 93.8/100 | #49 |
Real examples, graded
WeakJOIN fan-out double counting 54/100
“The model correctly identifies that the original query returns 250, the correct total is 150, and accurately explains the fan-out issue. It also provides two valid fixes. However, its third proposed fix (deduplicating the orders table before joining) completely fails to resolve the fan-out issue and will still return 250. This hits a critical failure mode by proposing a fix that still double counts, demonstrating a lapse in SQL reasoning.”
Frequently asked
Is Glm 5.2 good at Data & Analytics?
Glm 5.2 ranks #41 of 110 models we tested for Data & Analytics, scoring excellent.
What is Glm 5.2's strongest Data & Analytics skill?
Its best sub-task here is SQL Reasoning.
This page is Spring Prompt, running in public
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals