Cohere Rerank v4.0 vs Qwen3.5 (397B-A17B)

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.	Qwen3.5 (397B-A17B) Alibaba's Apache-2.0 open-weight Qwen3.5 flagship MoE with very low active-parameter cost and broad multilingual coverage.
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	+ Permissive Apache 2.0 license + Only 17B active parameters, enabling comparatively cheap inference + First-class MCP and tool-calling support via Qwen-Agent + 201-language coverage for multilingual agents
Tradeoffs	− API-only (no open weights) − Adds an extra network hop and per-query cost to the retrieval pipeline	− Long context beyond 262K requires YaRN extension rather than native support − Flagship commercial Qwen3-Max capabilities are not part of the open release
Used in stacks	0	0