DeepSeek V4 vs Llama 4 Maverick

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.	Llama 4 Maverick Meta's open-weights frontier model; self-hostable on any infra.
Category	model	model
Vendor type	open source	open source
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	+ Open weights — fully self-hostable + No per-token API costs once deployed + Active research community
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	− Inference infra is the team's problem − Tool-use reliability slightly trails frontier closed models
Used in stacks	0	0