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HELM

Open Source
LLM Evaluation Updated Feb 15, 2026
Compared with 9 other LLM Evaluation agents Open source Self-hostable Updated Feb 2026
💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not applicable; the tool is freely available as open-source software.

🎯 Use Cases

Benchmarking new language models against existing ones Identifying biases and limitations in LLMs Assessing model robustness across diverse tasks (e.g., question answering, summarization) Supporting research in AI model transparency and fairness Guiding model selection for specific applications

⚖️ Pros & Cons

✅ Pros

  • Comprehensive evaluation across multiple dimensions (accuracy, fairness, robustness)
  • Standardized metrics enable direct model comparisons
  • Open-source and transparent methodology
  • Supports a wide variety of language tasks and datasets

❌ Cons

  • Requires technical expertise to set up and run evaluations
  • Limited to predefined tasks and may not cover all use cases
  • Computationally intensive for large-scale evaluations
  • Primarily focused on English-language models

Overview

HELM (Holistic Evaluation of Language Models) is a comprehensive benchmarking framework designed to evaluate the performance of large language models (LLMs) across a wide range of tasks and scenarios. It provides standardized metrics and datasets to assess model capabilities, biases, and robustness, enabling systematic comparison of LLMs.

Problem It Solves

It solves the lack of standardized, transparent, and holistic evaluation methods for comparing the performance and limitations of different language models.

Target Audience: Developers and teams working with llm evaluation automation.

Inputs

  • User configuration
  • API credentials (if required)
  • Task parameters

Outputs

  • Automated task results
  • Status reports
  • Generated content or actions

Example Workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample System Prompt


              You are HELM, an AI assistant. Help the user accomplish their task efficiently.

            

Tools & Technologies

LLM APIs Python

Alternatives

See all LLM Evaluation alternatives to HELM →

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FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

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HELM