Unverified50% confidenceFactExact time
Autoregressive model inference must be executed strictly in serial; generating each token requires one complete forward pass, which is an important structural reason for the high cost of large model inference.
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9/9/2026
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Unverified大模型推理的本质是自回归生成，即不断预测下一个token80% similarUnverifiedIn large model inference, generating each token requires reading all model weights from video memory, meaning the speed bottleneck is fundamentally a data movement problem rather than a computation problem.79% similarUnverifiedIn large model inference, the stronger the model capability (more parameters, deeper reasoning), the higher the marginal cost, which stands in contrast to the cost structure of traditional software development where copying is essentially free.79% similarUnverifiedReasoning models (such as the o1 series) can cost several times to more than ten times more than regular models because they need to generate a large number of intermediate thinking steps.78% similarUnverifiedThe inference cost of large language models is variable and usage-based; a single Agent handling a complex task may trigger dozens of model calls and consume millions of tokens.78% similar
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