Using Qwen3 Embedding 0.6B on Cloudflare Workers AI
Implementation guide · Qwen3 Embedding · Alibaba
Quick Start
- 1
- 2Use the Cloudflare Workers AI SDK or REST API to call
@cf/qwen/qwen3-embedding-0.6b— see the documentation for request format.
Code Examples
About Cloudflare Workers AI
Cloudflare Workers AI is a serverless GPU inference platform enabling developers to run machine learning models on Cloudflare's global edge network. It supports diverse AI tasks including text generation, image classification, automatic speech recognition, and real-time language translation. The platform provides pay-per-use pricing and access to a curated library of open-source models from Hugging Face, enabling rapid deployment without complex infrastructure management. Key features include low-latency edge computing, streaming responses for large language models, context length customization, and the AI Gateway for monitoring, caching, and cost optimization.
Cloudflare is a leading connectivity cloud company that provides a comprehensive suite of cloud-native products and developer tools to enhance web performance, security, and reliability. Their services include content delivery network (CDN), DDoS mitigation, DNS services, and zero trust security solutions. While Cloudflare doesn't primarily market itself as an AI platform, they have incorporated AI and machine learning technologies into various aspects of their services to improve performance and security, including threat detection capabilities, content delivery optimization, and intelligent routing decisions across their global network.
Pricing on Cloudflare Workers AI
Capabilities
No model capability flags are currently sourced.
About Qwen3 Embedding 0.6B
Qwen3 Embedding 0.6B is Alibaba's compact multilingual text embedding model from the Qwen3 generation, supporting 119 languages. Open-sourced under Apache 2.0. Part of the Qwen3-Embedding series (0.6B, 4B, 8B), achieving SOTA multilingual embedding performance relative to its parameter count.