Cost: Gemini is more expensive for large-scale applications with a proprietary license and higher computation. On the other hand, DeepSeek is open source and offers a more cost-effective and accessible option.
Multimodal Capabilities: Gemini is good with multimodal tasks. Whereas, DeepSeek focuses more on text-based reasoning. Gemini is more versatile for images, audio, video, and text. DeepSeek has recently extended the capabilities with Janus-Pro to enable multimodal AI.
Community and Support: Gemini comes with a big Google backing, community, and support. Whereas, DeepSeek is relatively new with a smaller community of users.
Maturity: Gemini has taken a longer time to develop. DeepSeek is still under development and largely influenced from reengineering and lacks sufficient refinement.
An open source model will always facilitate for a larger community of users due to accessibility and a sporadic cycle of development. In many cases, an open source model may out pace the proprietary model. DeepSeek model is showing multimodal strengths and may eventually outshine its competitor models. Although, it has already challenged the competition with some serious capabilities.
