Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
MixEvalmixeval.github.io · Low evidenceMixEval is a benchmark that evaluates large language models by strategically mixing off-the-shelf benchmarks to bridge real-world user queries with ground-truth-based evaluation. It achieves a 0.96 ranking correlation with Chatbot Arena while running at 6% of the time and cost of MMLU, and supports dynamic updates to prevent contamination.
Parse Score