Evaluating Models Requires More Than Just Intelligence
intellectronica · x · 2026-07-15
The author argues that evaluating LLMs shouldn't focus solely on how "smart" they are, but must also consider the cost and latency per task.
The core point is that if a model is near the frontier of intelligence but requires more inference steps, compute, and longer wait times to complete the same task, its practical usability drops. This metric is especially crucial for newly open-sourced models like GLM and Kimi, as they are competing not just on raw capability, but on efficiency.
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