Unverified50% confidenceFactExact time
The token consumption per response in reasoning mode increases multiplicatively, with deep reasoning consuming thousands or even tens of thousands of tokens.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedReasoning models may consume several times or even more than ten times the output tokens, directly driving up API call costs.69% similarUnverifiedInvoking multiple experts simultaneously causes token consumption to multiply, with total token consumption growing linearly or even super-linearly with the number of experts69% similarUnverified每个中间推理token与输出token消耗等量的GPU算力，Extra High档位单次请求FLOPs可能是普通生成模式的数十倍68% similarUnverifiedIn High mode, the token consumption per chain-of-thought reasoning call may be 10 to 50 times that of Instant mode.68% similarUnverifiedBefore outputting a final answer, a reasoning model's internal chain of thought may consume 3,000 to 20,000 tokens, far exceeding the approximately 500 tokens of an ordinary model.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/899192API
curl https://kongchang.com/api/v1/knowledge/claims/899192MCP
get_claim(id=899192)