DeepSeek V3.2 and Gemini 3 Pro sit at opposite ends of the cost-capability curve. DeepSeek is the open-weight value model — a 671B MoE with sparse attention, strong text and code reasoning, ultra-low pricing and full self-hostability. It's ideal for high-volume, cost-sensitive, text-heavy workloads where you want control.
Gemini 3 Pro is the closed multimodal frontier model with a 1M-token context and leading reasoning scores across math, science and competitive coding. It wins decisively on multimodality, context length and peak quality; DeepSeek wins decisively on cost and openness. For text and code at scale on a budget, DeepSeek is hard to beat; for multimodal, very-long-context, top-quality work, Gemini 3 Pro leads.
Which should you choose?
The verdict
Gemini 3 Pro wins on multimodality, context size and peak quality; DeepSeek V3.2 wins on cost, openness and text/code value. Pick by whether you need scale-and-multimodality or maximum value.
Watch the comparison
DeepSeek V3.2 vs Gemini 3 Pro — video reviews on YouTubeWatch hands-on tests and side-by-side demosFrequently asked questions
Is DeepSeek multimodal?
No — DeepSeek V3.2 handles text and code; Gemini 3 Pro adds native image, video and audio understanding.
Which is cheaper?
DeepSeek V3.2, by a wide margin, with open weights for self-hosting.