What are reasoning models like o1 and R1?

They're LLMs trained via RL to generate long chains of thought at inference, boosting multi-step reasoning without massive retraining.

How do reasoning models differ from GPT-4o?

GPT-4o crams reasoning into one pass; reasoners like o1 use extra tokens as scratchpad, scaling performance with think-time.

Yes, with MoE efficiency — inference compute trades off for smarts, runnable on consumer GPUs for many tasks. Word count: 1027.

🤖 AI & Machine Learning

Forget scaling up parameters — reasoning models like o1 and R1 scale by thinking harder. This flips AI's foundational bet on its head.

theAIcatchup Apr 10, 2026 4 min read

Reasoning models scale via inference-time thinking, upending pre-training dominance. 𝕏
DeepSeek R1's open recipe enables rapid open-source replication. 𝕏
This shift mirrors chess AI's move to smarter search over brute force. 𝕏

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Community-driven. Code-first.

#DeepSeek R1 #OpenAI o1 #chain-of-thought #reasoning models

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Originally reported by Dev.to