BFCL / Berkeley Function Calling Leaderboard

What it measures

A live UC Berkeley leaderboard for function and tool calling across AST, executable, multi-turn, live, and agentic categories.

Primary metric

overall function-calling accuracy (%)

Judge model

not judged by a model

Human baseline

—not reportedNo single human baseline is published for the full BFCL V4 weighted score.

Languages

English, Java, JavaScript, Python, SQL

Health

The V4 overall score is a weighted category composite, not a micro-average over every exposed row. Always report native function-calling versus prompt mode, selected categories, code commit, and bfcl-eval package version.

Status evidence

BFCL V4 is the current leaderboard series: the official site was last updated on 2026-04-12, evaluates agentic web-search and memory categories, and pins reproductions to bfcl-eval==2025.12.17 / commit f7cf735.

Saturated since

not saturated

Refresh cycle

continuous

Test set public

yes

BFCL adds live and periodically updated data, category expansion, reproducible pinned commits, and model-response releases, but the public test data still creates memorization and prompt-format overfitting risk.

Models scored on this benchmark

The reverse lookup, which is this site’s addition: every model here with a score on this benchmark. Independent measurements and vendor-reported numbers are kept apart rather than interleaved, because they are different claims.

No model on this site has a score on this benchmark yet. That usually means the models that were measured on it are not in the registry, rather than that nobody has run it.

Trajectory

Where results are tracked

Leaderboards benchwiki lists for this benchmark. These are links out, not sources this site ingests — no score below comes from any of them.

• Berkeley Function-Calling Leaderboardofficial