Verified90% confidenceFactExact time
Reasoning models, represented by OpenAI o1, DeepSeek-R1, and QwQ, have chain-of-thought expansion as their core mechanism, generating a large number of intermediate reasoning steps before producing a final answer.
7
Sources
90%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
UnverifiedReasoning models (such as OpenAI's o1/o3 series, Anthropic's Claude with extended thinking, and DeepSeek-R1) output their thinking process (thinking tokens) before generating the final answer.84% similarUnverifiedReasoning models, represented by OpenAI's o series, DeepSeek-R1, and the Kimi K series, perform a chain-of-thought process before outputting, decomposing problems into multiple steps, performing self-verification, and deriving answers incrementally.83% similarVerifiedOpenAI's o-series reasoning models introduce a slow-thinking mechanism that performs internal chain-of-thought reasoning before outputting the final answer.83% similarUnverifiedAdding the keyword 'think' in a prompt can forcibly activate deep reasoning mode, similar to the reasoning paradigm of OpenAI's o1 series models.81% similar
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