HELM
Framework for transparent evaluation of language models.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is HELM?
Holistic Evaluation of Language Models (HELM) is a framework designed to increase the transparency and accountability of language models through comprehensive benchmarking and evaluation. It helps researchers and developers understand model performance across various tasks and contexts, ensuring more reliable AI systems.
Key differentiator
“HELM stands out by offering a comprehensive and transparent evaluation framework specifically tailored for language models, ensuring that developers and researchers have the tools they need to understand model performance across various tasks.”
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 development and community support are centered around Python, with limited official SDKs for other languages
Running comprehensive benchmarks on large datasets can be computationally expensive and time-consuming
Fit analysis
Who is it for?
✓ Best for
Research teams needing a comprehensive evaluation framework for their language models
Development teams aiming to ensure the robustness of AI systems in production environments
✕ Not a fit for
Teams requiring real-time model performance metrics (HELM is designed for batch processing)
Projects with limited computational resources, as thorough evaluations can be resource-intensive
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
Integrations
Next step
Get Started with HELM
Step-by-step setup guide with code examples and common gotchas.