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BFCL v3: Berkeley Function Calling Leaderboard v3

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 The collected April 2026 slice has limited frontier-model coverage and is superseded by the current BFCL leaderboard.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).

Compare candidates
#Model variant and provenanceScore
1
Granite 4.1 30B
Version: BFCL v3 (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
73.7
2
Qwen3.5-397B-A17B
Version: BFCL-V4, from official model card (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
72.9
3
Qwen3.5-122B-A10B
Version: BFCL-V4, from official model card (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
72.2
4
Qwen3-Max
Version: Berkeley Function Calling Leaderboard (BFCL v3)Harness: Not recordedEvaluator: Not recordedObserved: Apr 12, 2026Confidence: Not recordedSource
71.9
5
Qwen3-Coder-480B-A35B-Instruct
Version: Berkeley Function Calling Leaderboard (BFCL v3)Harness: Not recordedEvaluator: Not recordedObserved: Apr 12, 2026Confidence: Not recordedSource
68.7
6
Qwen3.5-27B
Version: BFCL-V4 (newest BFCL version), from official model card (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
68.5
7
Granite 4.1 8B
Version: BFCL v3 (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
68.3
8
Qwen3.5-35B-A3B
Version: BFCL-V4, from official model card (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
67.3
9
Mellum2 12B
Version: BFCL v3 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
66.3
10
Qwen3.5-9B
Version: BFCL-V4, from official model card (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
66.1
11
Kimi K2.5
Version: BFCL v3 (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
64.5
12
Granite 4.1 3B
Version: BFCL v3 (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
60.8
13
Qwen3.5-4B
Version: BFCL-V4, from official model card (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
50.3
14
LFM2.5 1.2B Instruct
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.

Related benchmarks

Last reviewed: Apr 26, 2026

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