OpenAI o1
A reasoning-focused large language model released by OpenAI. It significantly improves accuracy on complex tasks by generating internal chain-of-thought reasoning and is a widely recognized representative product in the reasoning model category.
Core Facts
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.
OpenAI的o1系列模型和DeepSeek-R1采用了类似Chain-of-Thought的显式推理机制
Reasoning 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.
Timeline (last 90 days)
Gemini 4 Argon ranks first on the independent Vals Index leaderboard with a composite score of 89.4%, surpassing Anthropic Claude 4.5 Opus (85.2%) and OpenAI o1 (84.1%).
On the VALS Knowledge Task Index, Gemini 4 Argon scored 68.9%, reaching the top of SOTA and surpassing Opus 5.5's 67%.
Grok's Thinking mode is similar to OpenAI's o1 series and DeepSeek-R1.
Although thinking tokens of some models are not directly shown to users, they are still counted toward consumption.
Reasoning models (such as the OpenAI o1 series, DeepSeek-R1, etc.) are typically priced higher via API than standard conversational models due to their need for longer thinking processes and more computational resources.
OpenAI's o1 series models bill reasoning tokens at the output token price
OpenAI's o1 series and Google's Gemini 2.5 series internalize chain-of-thought as the model's default behavior, with models trained to automatically perform internal reasoning.
OpenAI的o1模型仅展示经过处理的'思考摘要'而非原始推理token，而谷歌AI Studio则提供相对更完整的内部推理可见性
2024年以来，OpenAI的o1系列和谷歌的Gemini 2.5系列都将'深度思考'能力作为核心卖点
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.
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All Facts (12)
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.
90%VerifiedOpenAI的o1系列模型和DeepSeek-R1采用了类似Chain-of-Thought的显式推理机制
80%VerifiedReasoning 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.
65%VerifiedThe OpenAI o1 series develops Chain-of-Thought capabilities through reinforcement learning training, far surpassing traditional GPT-4 in mathematical proofs, algorithm design, and complex logical reasoning.
65%Unverified策略节点的推理检查点设计与Chain-of-Thought、ReAct等提示工程范式以及OpenAI o1系列模型的设计理念一脉相承
75%UnverifiedOpenAI's o1 series models bill reasoning tokens at the output token price
60%UnverifiedGemini 4 Argon ranks first on the independent Vals Index leaderboard with a composite score of 89.4%, surpassing Anthropic Claude 4.5 Opus (85.2%) and OpenAI o1 (84.1%).
50%UnverifiedGrok's Thinking mode is similar to OpenAI's o1 series and DeepSeek-R1.
50%UnverifiedAlthough thinking tokens of some models are not directly shown to users, they are still counted toward consumption.
50%UnverifiedOpenAI's o1 series and Google's Gemini 2.5 series internalize chain-of-thought as the model's default behavior, with models trained to automatically perform internal reasoning.
50%UnverifiedOpenAI的o1模型仅展示经过处理的'思考摘要'而非原始推理token，而谷歌AI Studio则提供相对更完整的内部推理可见性
50%Unverified2024年以来，OpenAI的o1系列和谷歌的Gemini 2.5系列都将'深度思考'能力作为核心卖点
50%