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Agent Benchmarking

Learn to measure and compare AI agent performance using standardized benchmarks

Popular Benchmark Frameworks

Standardized benchmark frameworks provide consistent, reproducible evaluation across agents. Instead of creating custom tests, use established benchmarks that the AI community trusts. This allows direct comparison with other agents and gives you credible performance numbers.

Interactive: Framework Explorer

Select a benchmark framework to explore its details and use cases:

HumanEval

Primary Focus
Code Generation
Number of Tasks
164
Domains Covered:
Python programmingAlgorithm implementationProblem solving
Why Use This:

Industry-standard for code generation. Widely used, reproducible, evaluates correctness.

Interactive: Framework Comparison Tool

Select up to 3 frameworks to compare side-by-side. Click the toggle button below:

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Mix Multiple Benchmarks

No single benchmark tells the full story. A code agent might excel on HumanEval but struggle with TruthfulQA. Use 2-3 complementary benchmarks that cover your agent's key capabilities: accuracy, safety, and domain expertise. This provides a holistic view of strengths and weaknesses.

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