Expired50% confidenceFactExact time
Fable 5's increased token consumption is attributed to Extended Thinking or Chain of Thought mechanisms, where the model performs internal reasoning and self-verification before generating a final answer
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Claude Fable 5 Hands-On: Is Doubling the Tokens Worth It? A Rust Programming Comparison with Opus 4.8
bilibili四月的尾巴_6/13/2026
Related Claims
Unverified推理模型在生成最终答案前会先产生大量内部思维链（Chain-of-Thought）token，这些 token 不直接暴露给用户79% similarUnverifiedSome AI models incorporate 'thinking tokens' mechanisms, performing internal reasoning steps before generating the final answer74% similarUnverifiedReasoning mode performs internal chain-of-thought reasoning before the final answer, and the thinking tokens generated are billed; in complex programming tasks, thinking tokens may account for 60%–70% of total consumption, and costs may be 3–5 times that of normal mode.73% similarUnverifiedExtended thinking mode causes the model to perform an explicit internal reasoning chain before output, at the cost of significantly increased token consumption, with reasoning tokens typically billed at a higher rate.71% similarUnverifiedTop-tier models employ techniques such as chain-of-thought or extended reasoning, generating a large number of intermediate tokens during inference, causing per-call token consumption to be several times that of ordinary models.71% similar
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