#inference

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Model economics — the operating cost of intelligence

Tokens, latency, throughput, quality, and risk on one bill. A model is not just smart or dumb; it is expensive, slow, cheap, local, or operationally bearable.

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Inference-time compute (Reasoning models)

Extra computation for an individual prompt can improve some demanding tasks, but it does not guarantee a correct answer and adds latency.

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Model orchestration: how AI systems choose and combine models

Model orchestration decides which model should handle each part of the work. It combines routing, handoffs, fallbacks, cost, latency, quality, security and portability in one operational control layer.