MLflow benchmarks Jev as an LLM judge against GPT, Claude and DeepSeek

MLflow @MLflowOriginally posted 2026.09.25

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We compared Jev, TypeSafe’s model for structured decisions, with GPT, Claude, and DeepSeek using MLflow. On 30 human-labeled QA examples, Jev matched the best agreement at lower cost and latency: ✅ 30/30 agreement with human labels ⚡ 369 ms median latency 💰 $0.0247 estimated cost per 1,000 judgments Our new blog walks through building a Jev scorer in MLflow, measuring quality, cost, and latency, and deciding when to use another judge. Try the same comparison on your own dataset. 📖 Full blog: https://mlflow.org/blog/jev-llm-judge/ #MLflow #OpenSource