# Spider 2.0-Lite

> A text-to-SQL benchmark over realistic warehouse-scale schemas, reported by Interfaze for model comparison.

Canonical page: https://benchlm.ai/benchmarks/spider2lite

- Category: [Coding](/coding)
- Last updated: September 27, 2026

## About Spider 2.0-Lite

- Year: 2024
- Tasks: Text-to-SQL queries
- Format: Execution accuracy
- Difficulty: Enterprise text-to-SQL
- Paper: [Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows](https://github.com/xlang-ai/Spider2)

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.

Spider 2.0-Lite is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (1 models)

| Rank | Model | Creator | Score |
|------|-------|---------|-------|
| 1 | [Interfaze Beta](/models/interfaze-beta) | Interfaze | 52.9% |

## FAQ

### 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 been evaluated on Spider 2.0-Lite on BenchLM.

### Does Spider 2.0-Lite affect BenchLM's overall score?

Not directly. Spider 2.0-Lite is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.