DeepSeek V4 vs Gemini 2.5 Pro

Pick two tools from the same category to compare side-by-side.

	DeepSeek V4 DeepSeek's V4 generation of open-weight MoE models with 1M-token context and agent-focused reasoning modes.	Gemini 2.5 Pro Google's frontier multimodal model with very long context.
Category	model	model
Vendor type	open source	commercial
Pricing	free	usage
Strengths	+ MIT-licensed open weights for both Pro and Flash variants + 1M-token context window + Selectable reasoning effort modes (non-think plus two thinking modes) + Sparse MoE design keeps activated parameters low relative to total size	+ Very long context + Native multimodal (image/video/audio) + Competitive pricing per token
Tradeoffs	− Branded as a preview release on deepseek.com as of June 2026 − V4-Pro's scale makes self-hosting impractical without large GPU clusters	− Tool-use ergonomics differ from OpenAI/Anthropic − Smaller agent-framework ecosystem
Used in stacks	0	6