LLM Reference
BFCLactiveTool use

BFCL

Metric: Function Calling Accuracy (higher is better)Introduced: 2023

About

Berkeley Function Calling Leaderboard (BFCL) evaluating LLM ability to correctly call functions/APIs with proper arguments across diverse domains. Currently on v3.Compare model scores alongside pricing, API availability, and release date — high benchmark score alone doesn't make a model the right pick.

How to read this benchmark

This benchmark uses a scoring system where higher is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.

Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.

Trust when:

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • Model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Don't trust when:

  • There is only one benchmark snapshot or the dataset appears stale.
  • Benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Current modeled score band for tracked entries is roughly 77.5 – 68.7.

Window

Apr 14 to Apr 19

last 3 snapshots

Mean delta

+21.29

score points

Coverage

5

models in latest snapshot

Leaderboard preview (top 5)

  1. 1. Claude Opus 4.577.5
  2. 2. Claude Sonnet 4.573.2
  3. 3. Qwen3.5-397B-A17B72.9
  4. 4. Gemini 3 Pro72.5
  5. 5. Claude Haiku 4.568.7