Gemini 3 Pro and DeepSeek V3.2 represent two different philosophies. Gemini is the closed frontier model: a 1M-token context, leading multimodal reasoning and tight integration across Google's products. It's the choice when you need to reason over enormous, mixed inputs — documents, images, video and code together — at the highest quality.
DeepSeek V3.2 is the open-weight efficiency play. With sparse attention, a 128K context and prices a fraction of Gemini's, it delivers strong text reasoning and coding at scale, and you can self-host it for control and privacy. Gemini wins on multimodality, context size and polish; DeepSeek wins decisively on cost and openness. For text-heavy, high-volume workloads on a budget, DeepSeek is compelling; for multimodal and very-long-context work, Gemini leads.
Which should you choose?
The verdict
Pick Gemini 3 Pro for multimodal reasoning, huge context and top quality; pick DeepSeek V3.2 for open-weight, ultra-cheap text and coding at scale.
Watch the comparison
Gemini vs DeepSeek — video reviews on YouTubeWatch hands-on tests and side-by-side demosFrequently asked questions
Is DeepSeek multimodal like Gemini?
No — DeepSeek V3.2 focuses on text and code reasoning, while Gemini 3 Pro handles images, video and audio natively.
Which is cheaper?
DeepSeek, by a wide margin, thanks to its efficient MoE design and open weights.