DeepSeek-R1: open-weights reasoning model rivals o1 and shakes markets
Confirmed
Importance: historic (5 of 5)The takeaway
DeepSeek released R1 under the MIT license, a reasoning model matching OpenAI o1 on math and coding benchmarks, and showed with R1-Zero that reasoning can emerge from pure RL; on 27 January 2025 it topped the US App Store and NVIDIA lost ~$589B in market value in a single day.
Status
- Claim
Confirmed
- Our reporting
- High confidence
- Importance
- Historic (5 of 5)
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 AstraIn its training data
- Claude Opus 5.5In its training data
- Gemini 4 HydrogenIn its training data
- Grok 4.7In its training data
It happened before the cutoffs of all four assistants, so it can be in their training data.
Key facts
- Released 20 January 2025; paper arXiv 2501.12948
- MIT license, with distilled smaller models (1.5B–70B) based on Qwen and Llama
- R1-Zero trained with RL (GRPO) without supervised fine-tuning
- NVIDIA shares fell ~17% on 27 January 2025, erasing ~$589B — the largest one-day loss in US market history
- Peer-reviewed version published in Nature in September 2025
What happened
DeepSeek openly published a reasoning model and its RL recipe; its free chatbot app went viral worldwide.
Why it matters
The ‘DeepSeek moment’ showed that frontier reasoning could be replicated cheaply and openly, triggering a market shock, a wave of open reasoning models, and US policy debates on China.
Sources
3 sources from 3 sites. Numbers match the chips in the text.
3 sources: 2 primary, 1 press
Primary
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning (arXiv)arxiv.org, paper
- deepseek-ai/DeepSeek-R1 (code & weights)github.com, code
Press
- Nvidia sheds almost $600 billion in market cap (CNBC)cnbc.com, press
Changes
- Filed