Metric: Function Calling Accuracy (higher is better)Introduced: 2023Superseded by: bfcl
Version 3 of Berkeley Function Calling Leaderboard, evaluating model accuracy on function and API calls. The collected April 2026 slice has limited frontier-model coverage and is superseded by the current BFCL leaderboard. High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.
Models ranked
14
tracked on this benchmark
Score band
73.7 – 49.1
best → lowest tracked
Snapshot trend
-5.30
Apr 12 → Jun 7 · 12 models
Leaderboard
Tracked models ranked by Function Calling Accuracy (higher is better).
Version: Berkeley Function Calling Leaderboard (BFCL v3)Harness: Not recordedEvaluator: Not recordedObserved: Apr 12, 2026Confidence: Not recordedSource
Version: Berkeley Function Calling Leaderboard (BFCL v3)Harness: Not recordedEvaluator: Not recordedObserved: Apr 12, 2026Confidence: Not recordedSource
Version: BFCL-V4 (newest BFCL version), from official model card (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
Version: BFCLv3 (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
49.1
How to read this benchmark
This benchmark scores models where higher is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.
Trust this score when
There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
The model list covers the same version family you can actually deploy today.
Top candidates overlap with your required routing and feature requirements.
Be cautious when
There is only one benchmark snapshot or the dataset appears stale.
The benchmark metric direction is opposite of your decision objective.
The score difference between options is narrow and likely within implementation variance.
FAQ
What does the BFCL v3 benchmark measure?
Version 3 of Berkeley Function Calling Leaderboard, evaluating model accuracy on function and API calls. The collected April 2026 slice has limited frontier-model coverage and is superseded by the current BFCL leaderboard. On this page it lists 14 tracked model variants where higher is better.
Is a higher Berkeley Function Calling Leaderboard v3 score always better?
For this benchmark, higher is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.
How current is this Berkeley Function Calling Leaderboard v3 data?
This benchmark was last reviewed on Apr 26, 2026. The tracked score average moved -5.30 points across the last 2 snapshots.