Hugging Face has introduced a leaderboard for APEX-Agents, a benchmark designed to assess the capabilities of open-source AI models in performing professional tasks typically handled by consultants, lawyers, and bankers. This benchmark evaluates AI agents on their ability to navigate realistic work environments, including the use of documents, spreadsheets, and other tools required for completing complex, long-horizon tasks. APEX-Agents utilizes rubric-based grading and features live updates for new models. The service is available open-source on GitHub, and the content is intended for research and educational purposes only, with disclaimers about the hypothetical nature of the scenarios used in evaluations.
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Hugging Face Launches APEX-Agents Leaderboard to Evaluate Open-Source AI Models
Hugging Face· Hugging Face· Friday, May 1, 2026
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Senate Panel Supports AI Child Safety Bill Targeting OpenAI and Meta
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