Benchmark profile

Berkeley Function Calling Leaderboard v4 (BFCL v4)

A function-calling benchmark for tool selection, schema adherence, and argument correctness.

Data verified July 23, 2026

Benchmark score on BFCL v4 — July 23, 2026

BenchLM mirrors the published score view for BFCL v4. Qwen3.7 Max leads the public snapshot at 75.0% , followed by Qwen3.7 Plus (72.9%) and LFM2.5-8B-A1B (49.7%). BenchLM does not use these results to rank models overall.

1Closed

Qwen3.7 Max

Alibaba

qwen3-7-max

75.0%

Overall 72.84Context 1M

2Closed

Qwen3.7 Plus

Alibaba

qwen3-7-plus

72.9%

Overall 67.22Context 1M

3Open

LFM2.5-8B-A1B

LiquidAI

lfm2-5-8b-a1b

49.7%

Overall 41.42Context 128K

9 modelsAgenticCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (9 models)

Score

Qwen3.7 MaxAlibaba · Closed

75.0%

Qwen3.7 PlusAlibaba · Closed

72.9%

LFM2.5-8B-A1BLiquidAI · Open weight

49.7%

Mellum2-12B-A2.5B-ThinkingJetBrains · Open weight

45.6%

Mellum2-12B-A2.5B-InstructJetBrains · Open weight

44.2%

ZAYA1-8BZyphra · Open weight

39.2%

MiniCPM5-1BOpenBMB · Open weight

25.1%

LFM2.5-VL-450MLiquidAI · Open weight

21.1%

LFM2.5-230MLiquidAI · Open weight

21.0%

The published BFCL v4 snapshot places Qwen3.7 Max first at 75.0%. The third row is 25.3 points behind. The broader top-10 range is 54.0 points, so the table still separates the published systems.

9 models have been evaluated on BFCL v4. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. BFCL v4 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About BFCL v4

Year

2026

Tasks

Function-calling tasks

Format

Tool invocation and schema evaluation

Difficulty

Advanced tool use

BenchLM stores BFCL v4 as a display-only function-calling reference outside the current weighted core schema.

Trinity-Large-Thinking: Scaling an Open Source Frontier Agent

BenchLM freshness & provenance

Version

BFCL v4 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does BFCL v4 measure?

A function-calling benchmark for tool selection, schema adherence, and argument correctness.

Which model scores highest on BFCL v4?

Qwen3.7 Max by Alibaba currently leads with a score of 75.0% on BFCL v4.

How many models are evaluated on BFCL v4?

9 AI models have been evaluated on BFCL v4 on BenchLM.

Compare Top Models on BFCL v4

Qwen3.7 Max vs Qwen3.7 Plus Qwen3.7 Plus vs LFM2.5-8B-A1B LFM2.5-8B-A1B vs Mellum2-12B-A2.5B-Thinking Mellum2-12B-A2.5B-Thinking vs Mellum2-12B-A2.5B-Instruct

Last updated: July 23, 2026 · BenchLM version BFCL v4 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.