Benchmark scores are aggregate averages over test sets. Two models can achieve identical aggregate scores by succeeding on completely different subsets of questions. Their failure modes are different. …
Can a Smaller Open Model Beat a Frontier Model for One Narrow Job?
Regularly, and by significant margins. Frontier models are optimized for breadth across tasks. A smaller model fine-tuned specifically for a narrow task can outperform a much larger general model on …
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Why Does the Top Benchmark Model Feel Worse in Real Work Than Number Two?
Benchmark rankings measure performance on specific test sets under controlled conditions. Real work involves ambiguous instructions, multi-turn conversations, domain-specific knowledge, and output …
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