DeepSeek V4 vs Voyage-3-large

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.	Voyage-3-large Higher-capacity Voyage embedding model for retrieval-quality-sensitive RAG.
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	+ Higher retrieval quality than voyage-3 on demanding corpora + API-based; no embedding infrastructure to host
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	− More expensive per token than voyage-3 − API-only; document text leaves your environment to be embedded
Used in stacks	0	1