DeepSeek R1
#2 in Reasoning ModelsDeepSeek · since 2025-01-20 · 92× · last seen Jul 15, 2026
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Momentum
DeepSeek R1 is an open-source reasoning model by DeepSeek, released on January 20, 2025. It is built on a Mixture-of-Experts (MoE) architecture with 671 billion total parameters, of which only approximately 37 billion are active per inference pass. The model uses reinforcement learning (RL) with chain-of-thought training and achieves benchmark performance comparable to OpenAI o1 in mathematics, coding, and reasoning tasks. It is released under the MIT license and is available both via the DeepSeek API and as open-weight model for self-hosting.
Momentum trend
17.04.16.07.
Features
| Key-Benchmark (%) | AIME 2024: 79,8%; MATH-500: 97,3% (Pass@1); AIME 2025 nach 0528-Update: 87,5% |
| Kontextfenster (Token) | 128.000 Token (max. Generierungslänge 32.768–64.000 Token) |
| Lizenz | MIT-Lizenz (Modellgewichte und Code, kommerzielle Nutzung erlaubt) |
| Multimodalität | Nein – reines Text-Modell, primär für Sprache, Mathematik und Code |
| Plattform | DeepSeek API (deepseek-reasoner), DeepSeek-Chat (DeepThink), Hugging Face, GitHub, AWS Bedrock, Azure, Groq, NVIDIA NIM |
| Preis pro 1M Token | Input: $0,14 (Cache-Hit) / $0,55 (Cache-Miss); Output: $2,19 (offizielle DeepSeek-API) |
| Release-Datum | 20. Januar 2025 (Original-Release); Update R1-0528 am 28. Mai 2025 |