DeepSeek V4 vs Mistral 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.	Mistral Large Mistral's frontier model — strong multilingual + EU-data-residency story.
Category	model	model
Vendor type	open source	commercial
Pricing	free	free
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	+ EU-headquartered with data-residency story + Strong multilingual coverage + On-prem deploy option
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	− Smaller agent-framework ecosystem than Claude/OpenAI
Used in stacks	0	0