OpenAI o1
AI模型
推理
上一代
The first reasoning model — compute moved from training to thinking.
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o1 (September 2024) was trained with reinforcement learning to produce long private chains of thought before answering, jumping from GPT-4o's ~12% to ~74–83% on AIME math and expert-level science benchmarks. It introduced the test-time-compute scaling law — more thinking, better answers — that every lab immediately copied and that reshaped inference hardware demand.
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记录审阅截至 2026-01-15 — 查看 方法论.