Yes, all Qwen3 models (embeddings, reranker, LLMs) are open-source and available under Apache 2.0 or similar permissive licenses, free for commercial use.
Qwen3’s open-source status means you can download model weights, host them on-premises, fine-tune for your domain, and use them commercially without licensing fees. This contrasts with proprietary embedding APIs (OpenAI, Anthropic) that charge per query. For organizations processing millions of vectors, open-source Qwen3 embeddings run on self-owned hardware deliver dramatically lower costs.
With Milvus, the cost advantages compound: open-source Qwen3 + open-source Milvus create a fully self-hosted, license-free RAG stack. No vendor lock-in, no per-query charges, no closed models. Milvus tutorials show deploying Qwen3 embeddings and Milvus in containerized environments (Kubernetes, Docker), enabling cost-effective scaling from prototype to production. Total cost of ownership is determined by hardware and engineering time, not software licensing.