reasoning benchmark
BFCL v2 Leaderboard
BFCL v2 evaluates large language models on function calling using 2,251 question-function-answer pairs, including enterprise and OSS-contributed functions and multilingual prompts.
Updated Sep 5, 2026
Models5
Model coverage5
MetricScore
EvidenceB
BFCL v2 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score77.30% | Percentile100.00% | Participants5 | EvidenceC | Evaluated |
| Rank02 | ModelNV | Score74.10% | Percentile75.00% | Participants5 | EvidenceC | Evaluated |
| Rank03 | ModelNV | Score73.70% | Percentile50.00% | Participants5 | EvidenceC | Evaluated |
| Rank04 | ModelME | Score67.00% | Percentile25.00% | Participants5 | EvidenceC | Evaluated |
| Rank05 | ModelNV | Score63.60% | Percentile0.00% | Participants5 | EvidenceC | Evaluated |
BFCL v2 Highlights
The leading models and scores on this benchmark.
BFCL v2 Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for BFCL v2
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is BFCL v2?
What BFCL v2 measures and how its scores work.
BFCL v2 is a benchmark for evaluating large language models' function calling capabilities across Python, Java, and JavaScript.
It measures AST accuracy, executable accuracy, irrelevance detection, and relevance detection, with the metric reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BFCL v2
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BFCL v2.
Which model scores highest on BFCL v2?
Llama 3.3 70B Instruct is currently ranked first with 77.30%.
What are the top three models on BFCL v2?
The current leaders are Llama 3.3 70B Instruct (77.30%), Llama 3.1 Nemotron Ultra 253B v1 (74.10%), and Llama-3.3 Nemotron Super 49B v1 (73.70%).
Which BFCL v2 model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among BFCL v2 results?
The fastest matched records are Llama 3.3 70B Instruct (2,220.00 tok/s via Cerebras) and Llama 3.2 3B Instruct (171.50 tok/s via DeepInfra).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.