3 reasons why you should consider DeepSeek V2:
Reason #1: Cost-Effectiveness
DeepSeek offers its AI models through an API at significantly lower prices than competitors like OpenAI. For instance, DeepSeek-R1 costs $0.55 per million input tokens and $2.19 per million output tokens, compared to OpenAI’s $15 and $60, respectively.
For smaller businesses or those with limited budgets, this pricing is a major advantage over other models like OpenAI.
Reason #2: Long Context Understanding
It … supports a context length of 128K tokens.
This is a crucial benefit, particularly for strategic planning, where providing extensive data and information is essential. In theory, this should lead to deeper insights and more informed decision-making.
Reason #3: Open Source
DeepSeek’s open-source approach allows for free access and modification of its models…
Being open source means companies with the necessary expertise can fine-tune the model to their specific needs, resulting in more customized outputs while also mitigating potential biases inherent in the base model.
A Key Limitation
One major drawback of DeepSeek is its relatively less established ecosystem compared to OpenAI. With OpenAI, I can easily turn to social media or GitHub for support. With DeepSeek, I might have to dig a little deeper.