Tool · October 2026
How often do AI models pick SQLModel?
In October 2026, SQLModel was named in 7 of 900 picks, by 2 models, in 2 categories. Most of them were in ORM and query layer: 6 of 63 picks (10%). That is 0.8% of all 900 picks; Laguna S 2.1 named it most often (5 times).
n = 7 picksMeasured 2026-10-19Method
Model pick, not a product recommendation. The models answered without a repository, existing code or tools, so the index shows what a model names when nothing in the project constrains it. It says nothing about quality, security, price or market share.
By category
| Category | Picks | of | Share | Bar | Most named in category |
|---|---|---|---|---|---|
| ORM and query layer | 6 | 63 | 10% | Prisma | |
| Database | 1 | 67 | 1% | PostgreSQL |
By context
| Context | Picks |
|---|---|
| Next.js (TypeScript) | 0 |
| Python FastAPI | 7 |
| Vibe coder (non-technical) | 0 |
| EU users (GDPR) | 0 |
By model
| Model | Picks |
|---|---|
| Laguna S 2.1 | 5 |
| Nemotron 3 Super 120B | 2 |
Alternatives named in the same runs
When a model picked SQLModel, these are the other tools it listed, by number of runs.
- SQLAlchemy: 7 runs
- Tortoise ORM: 6 runs
- Peewee: 4 runs
- Django ORM: 3 runs
- databases (encode): 1 runs
Vendor facts
We have not verified facts about SQLModel yet. Use the vendor's own documentation.