Best LLM Endpoint for MMLU

Ranked by canonical-prompt MMLU score on Benchscope. MMLU covers 57 subjects and 14,042 questions — the broadest knowledge benchmark available here. Use it to confirm that an endpoint's hosting environment has not degraded general knowledge capability.

What This Comparison Measures

MMLU (Massive Multitask Language Understanding) presents 14,042 four-choice questions across 57 subjects spanning STEM, humanities, social sciences, and professional domains. Benchscope extracts the first letter from the model output and scores it as correct or incorrect. This comparison uses canonical-prompt runs only — results are directly comparable across providers and model families.

How to Interpret MMLU Results

Frontier models cluster above 85%, limiting MMLU's ability to differentiate top-tier endpoints from each other. MMLU is most informative when comparing mid-tier models or confirming that a provider's quantization has not degraded factual knowledge. When the same model family is hosted by different providers, score differences reflect infrastructure — not model capability.

Important Caveats

MMLU has known contamination risk — questions may have appeared in model pretraining data, so high scores partly reflect memorization. MMLU does not test generation quality, instruction following, or compositional reasoning. For reasoning-intensive comparisons, see the MATH and GSM8K comparison pages.

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