OpenLLM v2 Average Leaderboard
Average score across OpenLLM Leaderboard v2 benchmarks
Why This Matters
Holistic performance metric - best single indicator of overall model capability
Good Scores
50%+ is capable, 60%+ is strong, 70%+ is state-of-the-art
Use Cases
- •General comparison
- •Model selection
- •Performance tracking
- •Capability assessment
About OpenLLM v2 Average
The OpenLLM v2 Average combines scores from multiple benchmarks including MMLU Pro, GPQA, BBH, MATH Lvl5, MuSR, and IFEval to provide a holistic measure of model performance across diverse capabilities.
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Complete Leaderboard
Top 50 models ranked by OpenLLM v2 Average performance
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