InfiBench
Benchmark for evaluating large language models on real-world coding questions.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
What is InfiBench?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary language support is Python, limited official support for other languages
GitHub issues show low activity levels and slow response times from maintainers
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
Teams needing a benchmark for non-coding related AI applications
Users requiring cloud-based or managed services for benchmarking purposes
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with InfiBench
Step-by-step setup guide with code examples and common gotchas.