Qwen 3.5 is Alibaba’s open-source large language model series released in March 2026, featuring compact models ranging from 0.8B to 9B parameters with exceptional performance on reasoning tasks, where the 9B model achieves a GPQA Diamond score of 81.7.
Qwen 3.5 models are lightweight alternatives to larger proprietary models, making them ideal for cost-effective deployment in retrieval-augmented generation (RAG) systems. The series includes specialized components: the Qwen3 Embedding family (0.6B, 4B, 8B) which ranks #1 on MTEB’s multilingual leaderboard with a score of 70.58 for the 8B model, and the Qwen3-Reranker for cross-encoder reranking. These models support 100+ languages and include Matryoshka Representation Learning for flexible embedding dimensions.
With Milvus, Qwen 3.5 embeddings enable two-stage retrieval pipelines: dense retrieval followed by cross-encoder reranking. This combination gives you production-ready semantic search without vendor lock-in. Milvus tutorials demonstrate end-to-end integration of Qwen3 embeddings and reranking models for efficient hybrid retrieval workflows.