Using BGE M3 on Cloudflare Workers AI
Implementation guide · BGE · Beijing Academy of Artificial Intelligence (BAAI)
Cloudflare Workers AI exposes BGE M3 through model ID @cf/baai/bge-m3. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-04-28. Next refresh: weekly.
Quick Start
- 1
- 2Use the Cloudflare Workers AI SDK or REST API to call
@cf/baai/bge-m3— see the documentation for request format. - 3
Code Examples
Pricing on Cloudflare Workers AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.01 |
Capabilities
No model capability flags are currently sourced.
About BGE M3
BGE-M3 is BAAI's flagship multilingual embedding model that simultaneously performs dense retrieval, sparse (lexical) retrieval, and multi-vector (ColBERT-style) retrieval. It covers 100+ languages with an 8,192-token context window — far longer than most embedding models — making it effective for both short queries and long documents. Built on an extended XLM-RoBERTa architecture, it achieves state-of-the-art results on the MKQA and MLDR multilingual retrieval benchmarks and is available via NVIDIA NIM.