Cohere Rerank v4.0 vs DeepSeek V4

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

	Cohere Rerank v4.0 Cohere's current-generation reranking models (Pro and Fast variants) for boosting retrieval relevance in RAG and agent search.	DeepSeek V4 DeepSeek's V4 generation of open-weight MoE models with 1M-token context and agent-focused reasoning modes.
Category	model	model
Vendor type	commercial	open source
Pricing	usage	free
Strengths	+ Purpose-built second-stage reranking improves precision of any retriever + Multilingual and handles semi-structured JSON documents + Pro/Fast split lets builders trade quality against latency and throughput	+ 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
Tradeoffs	− API-only (no open weights) − Adds an extra network hop and per-query cost to the retrieval pipeline	− Branded as a preview release on deepseek.com as of June 2026 − V4-Pro's scale makes self-hosting impractical without large GPU clusters
Used in stacks	0	0