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AI benchmarks typically score just one model on a single run, but a new study testing 21 LLMs across 16 benchmarks spanning coding, reasoning, medicine and agentic tasks found that correcting for both single-model and single-run bias reveals real achievable performance is 82% better than standard single-model benchmark scores
Verified 2026-09-13
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