Berkeley Function-Calling Leaderboard A
AI benchmark · Agentic
What is Berkeley Function-Calling Leaderboard?
Measures AI models' ability to correctly call and use functions in various contexts
Tier A
A
Widely used: a lab reports it, or 50 or more models are scored on it.
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.
- 85 models scored
- in curated RL directories (1 pt)
On X · well regarded, low buzz, from 4 posts about Berkeley Function-Calling Leaderboard in the last month
BFCL appears mainly as a standard reference metric cited in model and paper releases, such as ToolGrad and a quantized Saluki 27B, with little discussion of the benchmark itself.
How we got to tier A
- Adoption: 85 models scored. Tier A.
- On X: well regarded, low buzz. “BFCL appears mainly as a standard reference metric cited in model and paper releases, such as ToolGrad and a quantized Saluki 27B, with little discussion of the benchmark itself.” No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.