UQLM
Uncertainty Quantification for Language Models
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is UQLM?
UQLM is a Python library designed to detect hallucinations in language models using advanced uncertainty quantification techniques.
Key differentiator
“UQLM stands out by offering a specialized Python library focused on detecting hallucinations in language models through advanced uncertainty quantification techniques.”
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 maintenance focus is on Python, other languages have limited or no support
GitHub issues are infrequently addressed by maintainers; low number of contributors
Fit analysis
Who is it for?
✓ Best for
Teams developing applications that rely on accurate language model outputs where hallucination detection is critical.
Researchers who need to quantify and understand the uncertainty in language model predictions.
✕ Not a fit for
Projects requiring real-time processing of large volumes of text data, as UQLM may not be optimized for high-throughput scenarios.
Applications that do not require or benefit from detailed uncertainty quantification.
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
Integrations
Next step
Get Started with UQLM
Step-by-step setup guide with code examples and common gotchas.