DeepSeek-R1, a newly released open-source large language model (LLM), is making waves in the AI community by challenging the dominance of all commercial, closed-source models.
Picture: Huggingface
Why Open-Source Models Like DeepSeek-R1 are Better?
DeepSeek-R1’s impressive performance on various benchmarks, including its ability to rival commercial models in reasoning and problem-solving tasks, demonstrates the potential of open-source models to achieve near-parity with their closed-source counterparts.
In conclusion, open-source models like DeepSeek-R1 offer a compelling alternative to almost all commercial closed-source models, providing numerous advantages in terms of accessibility, transparency, customization, community, and cost-effectiveness.
| Feature | DeepSeek-R1 (Open-Source) | Commercial Closed-Source Models |
| Accessibility | Open source code and model weights allow for widespread access, customization, and deployment. | Proprietary technology restricts access and usage, often requiring licensing agreements and API usage. |
| Transparency | Open source nature enables researchers and developers to inspect, understand, and verify the model’s inner workings, fostering trust and accountability. | Black box nature of closed-source models hinders understanding and raises concerns about potential biases or unintended consequences. |
| Customization | Open source models can be freely modified, fine-tuned, and integrated into specific applications, enabling tailored solutions for diverse needs. | Closed-source models offer limited customization options, restricting innovation and adaptability. |
| Community and Collaboration | Open-source models foster a vibrant community of developers and researchers who can collaborate, share insights, and collectively improve the model’s capabilities. | Closed-source models limit community involvement and collaboration, hindering the pace of innovation. |
| Cost | Open-source models can be deployed and used without licensing fees or API costs, making them more accessible and cost-effective for individuals and organizations. | Commercial models often come with associated costs, including licensing fees, API usage charges, and potential restrictions on usage. |
Last nor least token Prices:
- per million input (cached), input and output token
| o1 | $7.50 | $15.00 | $60.00 |
| o1-preview | $1.50 | $3.00 | $12.00 |
| Deepseek Reasoner | $0.14 | $0.55 | $2.19 |
Deepseeker matches o1 performance at 25-30x cheaper price!
Fun fact: OpenAI, a prominent US AI research and development company, primarily focuses on closed-source models. In contrast, several Chinese companies are actively contributing to the open-source AI landscape by releasing and supporting powerful open-source models. This might seem counterintuitive, as one might expect OpenAI, with its name, to be a champion of open-source principles.
It’s worth noting that the newly released DeepSeek R1, a powerful open-source model, may have some limitations due to censorship. However, its open-source nature allows researchers and developers to explore and potentially mitigate these limitations. Just wait a few Days and you’ll see the fully uncensored models.
More info and downloads: : https://huggingface.co/deepseek-ai/DeepSeek-R1
