Qwen3.5 (397B-A17B) vs OpenAI text-embedding-3-large

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

	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.	OpenAI text-embedding-3-large OpenAI's most capable embedding model for English and non-English retrieval, served via usage-priced API.
Category	model	model
Vendor type	open source	commercial
Pricing	free	usage
Strengths	+ 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	+ Strong general-purpose retrieval quality across English and non-English text + Ubiquitous ecosystem support in vector databases and RAG frameworks + Simple usage-based pricing with a cheaper small variant for cost-sensitive paths
Tradeoffs	− Long context beyond 262K requires YaRN extension rather than native support − Flagship commercial Qwen3-Max capabilities are not part of the open release	− API-only (no open weights or on-prem option) − General-purpose model with no domain-specialized variants, unlike some competitors
Used in stacks	0	0