Cohere Rerank v4.0 vs Llama 4 Maverick

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.	Llama 4 Maverick Meta's open-weights frontier model; self-hostable on any infra.
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	+ Open weights — fully self-hostable + No per-token API costs once deployed + Active research community
Tradeoffs	− API-only (no open weights) − Adds an extra network hop and per-query cost to the retrieval pipeline	− Inference infra is the team's problem − Tool-use reliability slightly trails frontier closed models
Used in stacks	0	0