Compare Qwen3 Embedding 8B and Qwen3 Max on key metrics including price, context length, throughput, and other model features.
The Qwen3 Embedding model series is the newest proprietary addition to the Qwen family, purpose-built for text embedding and ranking applications. Leveraging the strong multilingual abilities, long-context comprehension, and reasoning prowess of its base model, Qwen3 Embedding delivers impressive progress across various embedding and ranking tasks. These include text retrieval, code search, text classification, clustering, and bitext mining.
Qwen3-Max, the updated model in the Qwen3 series, brings significant advances in reasoning, instruction following, multilingual support, and knowledge coverage compared to the January 2025 version. It offers better accuracy in math, coding, logic, and science, handles complex instructions in Chinese and English more reliably, reduces hallucinations, and gives higher-quality responses in open Q&A and conversations. Supporting 100+ languages, it improves translation and commonsense reasoning, and is optimized for retrieval-augmented generation (RAG) and tool use, though it lacks a specific “thinking” mode.