Can a model spend many tokens and still be wrong?
Yes. Additional steps can repeat a mistaken assumption or introduce new errors. Independent checks remain necessary when correctness matters to the task.
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More FAQs in Why does deeper AI reasoning require more inference time and tokens?
No. Model size, hardware, batching, context length, network delays, tool calls, and parallel execution can all affect how long a response takes.
No. Simple requests may already perform well with less computation. Compare effort levels on representative tasks and choose the setting that meets quality and latency needs.
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