Multi-dialect SQL evaluation (Cohere)
Models write SQL for SQLite, PostgreSQL, MySQL, PL/SQL and T-SQL databases. Scored by execution accuracy against gold databases.
In-house Cohere evaluation. The tasks are not public.
- Made by
- Cohere
- Released
- April 2025
- Kind
- Data science and SQL
- Level
- University
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- Kept private
- Last in a system card
- April 2025
- Last model added
- April 2025
Cohere Command A leads with 55.3%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 55.3% | Apr 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Apr 1, 2025 | | 55.3 | Internal SQL Avg. over SQLite, PostgreSQL, MySQL, PL/SQL and T-SQL (Table 14) | Capabilities |
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