via “multi-step problem solving with extended context windows”
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
Unique: Achieves o1-level reasoning performance on multi-step problems through a 671B parameter model with mixture-of-experts efficiency, exposing full reasoning traces for validation. Unlike o1, the reasoning process is transparent and the model weights are open-source, enabling custom fine-tuning for domain-specific problem types.
vs others: Comparable to o1 on reasoning benchmarks but with transparent reasoning tokens and lower API costs, versus GPT-4 which lacks explicit reasoning and requires more prompt engineering for complex multi-step problems.