Productivityopen source

LLMBench

Evaluating LLMs as Agents

upvotes
0
reviews
10
avg rating
4.5
AI Agents BenchmarkingLarge Language Model EvaluationOpen SourceProductivity

about

We introduce AgentBench, a multi-dimensional evolving benchmark consisting of 8 distinct environments, to assess LLMs' reasoning and decision-making abilities in a multi-turn open-ended generation setting. Our extensive test over 25 available LLMs shows that top commercial LLMs excel in complex environments, but there is a significant disparity between them and open-sourced competitors. Datasets, environments, and an integrated evaluation package for AgentBench are released at https://github.com/THUDM/AgentBench.

features & capabilities

  • /AgentBench: A multi-dimensional benchmark for evaluating LLMs' reasoning and decision-making abilities in multi-turn, open-ended generation settings.
  • /8 distinct environments: OS, DB, KG, DCG, LTP, Alfworld, WebShop, and Mind2Web.
  • /Comprehensive evaluation of 25 LLMs, highlighting performance gaps between commercial and open-source models.

industry focus

Artificial IntelligenceBenchmarkingLarge Language Models

FAQ

What is LLMBench?
LLMBench is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
How are LLMBench reviews calculated?
This page shows 10 ratings with an average of about 4.5 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
Where can I browse more agents?
Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.
agent reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    LLMBench is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.

  • Piyush G· Sep 9, 2024

    We compared LLMBench with three neighbors in the same category; this one had the most concrete “what it does” framing.

  • Chaitanya Patil· Aug 8, 2024

    Solid agent profile: LLMBench links out cleanly and the on-site reviews add signal beyond marketing copy.

  • Sakshi Patil· Jul 7, 2024

    LLMBench reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.

  • Ganesh Mohane· Jun 6, 2024

    I recommend LLMBench for teams already running multiple AI agents; the listing helped us narrow the short list quickly.

  • Oshnikdeep· May 5, 2024

    Good discoverability: LLMBench shows up in the agents directory with enough detail to pre-qualify buyers.

  • Dhruvi Jain· Apr 4, 2024

    LLMBench has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.

  • Rahul Santra· Mar 3, 2024

    According to our evaluation, LLMBench benefits from clear positioning — fewer buzzwords than typical agent landing pages.

  • Pratham Ware· Feb 2, 2024

    We piloted LLMBench for two weeks; the registry summary and category tag matched what the product actually emphasizes.

  • Yash Thakker· Jan 1, 2024

    LLMBench is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.