Spider 2.0-AIFunc C
AI benchmark
- Tier
- C why
- Snapshot
What is Spider 2.0-AIFunc?
Spider 2.0-AIFunc measures whether language models can generate AI-native SQL queries that use Snowflake Cortex AI functions over real-world enterprise databases, scored by execution accuracy.
Coding mostly
“existing text-to-SQL benchmarks evaluate only conventional SQL and provide no signal on whether models can generate such AI-native SQL.”
arxiv.org/abs/2607.06229v1 ↗“Starting from an existing enterprise text-to-SQL benchmark, we construct Spider 2.0-AIFunc through an agent-based pipeline”
arxiv.org/abs/2607.06229v1 ↗
Paper: arxiv.org/abs/2607.06229v1 ↗
Lineage
Benchmarks this one is built on and built from: versions, subsets, extensions and the indexes that combine them.
Built on
Spider 2.0 original
Tier C
Niche: a handful of models scored, or built by an RL vendor.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 9 models scored
- in curated RL directories (1 pt)
How we got to tier C
- Adoption: 9 models scored. Tier C.
- Not yet read on X.
- In curated RL directories: 1 point, a floor of none.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where Spider 2.0-AIFunc sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-19 snapshot.