Article · Benchmarks & research
Jev-as-a-Judge for Agent Evals
LangChain's LangSmith team benchmarks Jev as an agent evaluator against GPT-5.6 Luna, Terra, and Claude Sonnet 4.6 on five captured weather-agent…
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LangChain's LangSmith team benchmarks Jev as an agent evaluator against GPT-5.6 Luna, Terra, and Claude Sonnet 4.6 on five captured weather-agent runs. Jev matched the human oracle on all 500 binary pass/fail decisions with 92-913x lower quality-score variance and cost $0.00035 per call.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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