DeepSeek V4 vs Gemini 3.5 Flash

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 3.5 Flash Google's stable frontier model for sustained agentic and coding work, the current GA workhorse of the Gemini 3 family.
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	+ Only stable GA model in the Gemini 3.x family as of June 2026; positioned for agentic execution and sub-agent deployment + 1M-token context window with thought preservation across multi-turn agent loops + Rich built-in tool ecosystem (search/maps grounding, code execution, file search, function calling)
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	− Per Google docs: Computer Use is not supported at this moment (it was available in the Gemini 3 Flash Preview) − Output capped at 65k tokens, lower than competing flagships' 128k
Used in stacks	0	0