InfiBench
Benchmark for evaluating large language models on real-world coding questions.
- Status
- Not yet determined
- Last checked
- Unverified
- License
- Open source
- Pricing
- Free tier · from $0
What it is
InfiBench is a benchmark designed to evaluate the effectiveness of large language models in answering practical, real-world coding-related questions. It helps developers and researchers assess model performance in specific coding scenarios.
InfiBench stands out as an open-source, customizable tool specifically designed to evaluate large language models on real-world coding questions, offering detailed insights into model performance.
When it fits — and when it doesn’t
A good fit for
Developers looking to evaluate the performance of LLMs in real-world coding scenarios
Researchers studying the capabilities and limitations of large language models in software development tasks
Look elsewhere if
Teams needing a benchmark for non-coding related AI applications
Users requiring cloud-based or managed services for benchmarking purposes
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited integrations with other languages and frameworks
Primary language support is Python, limited official support for other languages
- 02
Small community which can limit troubleshooting options
GitHub issues show low activity levels and slow response times from maintainers
What it does well
Evaluates LLMs on real-world coding questions
Provides detailed performance metrics for models
Open-source and customizable benchmarking framework
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up InfiBench
Setup steps, common gotchas and what to check after 30 days.