MMLU-Pro Benchmark Leaderboard
Background
Methodology
Publication
View on arXivMMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Related links
Highlights
- Gemini 3 Pro Preview (high) scores the highest on MMLU-Pro with a score of 89.8%, followed by Gemini 3 Pro Preview (low) with a score of 89.5%, and Claude Opus 4.5 (Reasoning) with a score of 89.5%
MMLU-Pro Benchmark Leaderboard: Results
MMLU-Pro Benchmark Leaderboard: Token Usage
The total number of tokens used to run the evaluation, including input tokens (prompt), reasoning tokens (for reasoning models), and answer tokens (final response).
MMLU-Pro Benchmark Leaderboard: Cost Breakdown
The cost to run the evaluation, calculated using the model's input and output token pricing and the number of tokens used.
MMLU-Pro Benchmark Leaderboard: Score vs. Release Date
Example Problems
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