Spider 2.0-Lite
We show this table for reference; we do not rank on it.
A text-to-SQL benchmark over realistic warehouse-scale schemas, reported by Interfaze for model comparison.
Benchmark score on Spider 2.0-Lite — November 13, 2026
We compile the Spider 2.0-Lite rows from provider self-reports. Interfaze Beta leads the table at 52.9%. We do not use these results to rank models overall.
1 modelCodingRefreshingDisplay onlyUpdated November 13, 2026
Benchmark score table (1 model)
The one result on this page was reported by the lab that built the model.
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | Interfaze BetaInterfazeReported by Interfaze | 52.9% | Reported by Interfaze | Not reported | Closed |
- Lab-reported
- Benchmark-run
- Independent
About Spider 2.0-Lite
Year
2024
Tasks
Text-to-SQL queries
Format
Execution accuracy
Difficulty
Enterprise text-to-SQL
Spider 2.0-Lite tests whether a model can generate executable SQL from natural-language questions against realistic database schemas. BenchLM tracks Interfaze's SQLite subset score as a display-only coding and data benchmark.
Freshness and provenance
Version
Spider 2.0-Lite 2024
Refresh cadence
Annual
Staleness state
Refreshing
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Spider 2.0-Lite measure?
A text-to-SQL benchmark over realistic warehouse-scale schemas, reported by Interfaze for model comparison.
Which model scores highest on Spider 2.0-Lite?
Interfaze Beta by Interfaze currently leads with a score of 52.9% on Spider 2.0-Lite.
How many models are evaluated on Spider 2.0-Lite?
1 AI models have published results on Spider 2.0-Lite in the BenchLM catalog.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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