Berkeley Function-Calling Leaderboard
Evaluates AI models' function calling abilities for development and testing.
- Status
- Generally available
- Last checked
- Unverified
- License
- Proprietary
- Pricing
- Free tier
What it is
The Berkeley Function-Calling Leaderboard assesses the capability of large language models to call external functions or tools, providing insights into their practical utility in real-world applications. This leaderboard is essential for developers looking to integrate AI-driven functionalities effectively.
The Berkeley Function-Calling Leaderboard stands out as a specialized tool for evaluating the practical utility of AI models in calling external functions, offering unique insights into their real-world applicability.
When it fits — and when it doesn’t
A good fit for
Teams developing AI-powered tools that require external function calls
Researchers benchmarking the capabilities of different language models
Developers looking to integrate AI into their applications with confidence
Look elsewhere if
Projects requiring real-time performance metrics for function calling
Applications where manual testing is preferred over automated evaluation
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support beyond Python
Primary and official support is for Python, other languages rely on community contributions
- 02
Expensive at scale due to proprietary licensing
Commercial pricing model becomes costly as usage increases, especially in enterprise settings
What it does well
Assesses function calling abilities of AI models
Provides detailed insights into model performance
Facilitates comparison among different AI models
Pricing
- Free tier
- Yes
- Paid from
- —
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Berkeley Function-Calling Leaderboard
Setup steps, common gotchas and what to check after 30 days.