Evaluation & Testing

HELM

Framework for transparent evaluation of language models.

Status
Generally available
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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

Look elsewhere if

  • 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

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary development and community support are centered around Python, with limited official SDKs for other languages

  2. 02

    Resource-intensive at scale

    Running comprehensive benchmarks on large datasets can be computationally expensive and time-consuming

What it does well

  • Comprehensive benchmarking suite for language models

  • Detailed performance analysis across multiple tasks and contexts

  • Transparent evaluation metrics to ensure reliable AI systems

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.

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