Unverified50% confidenceFactExact time
When using the `-o thinking 1` option, the echo model simulates outputting reasoning text, which is reflected in the token statistics as 2 input tokens and 24 output tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedBefore llm-echo 0.5, the echo model's token counting may have been based simply on the length of input and output text, unable to reflect complex token consumption structures.75% similarUnverifiedReasoning tokens refer to the tokens consumed by the internal reasoning content generated by models with chain-of-thought capabilities (such as the OpenAI o series, DeepSeek-R1, etc.) before giving a final answer; they are usually not shown directly to the user but are counted toward billing and context window usage.67% similarUnverifiedToken consumption includes both the input content and the output returned by the model.67% similarVerifiedThe context of a large language model is essentially the total amount of information the model can process in a single inference, typically measured in the number of tokens.66% similarUnverifiedThinking tokens are billed as output tokens just like the final answer, and are usually invisible to users or shown only in collapsed form.64% similar
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