LLM Reference
Cloudflare Workers AI

BGE M3 on Cloudflare Workers AI

BGE · Beijing Academy of Artificial Intelligence (BAAI)

ServerlessOpen Source

Last refreshed 2026-04-28. Next refresh: weekly.

Why use BGE M3 on Cloudflare Workers AI?

Cloudflare Workers AI offers BGE M3 with competitive pricing. 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.

Compare BGE M3 across 2 providers to find the best fit for your use case
Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: @cf/baai/bge-m3
Model ID
@cf/baai/bge-m3

Request example

Curated snippets for this provider are not sourced yet. Use Cloudflare Workers AI documentation with model ID @cf/baai/bge-m3.

Gotchas

  • Use provider model ID "@cf/baai/bge-m3", not the LLMReference slug "bge-m3".

Compare BGE M3 Across Providers

ProviderInput (per 1M)Output (per 1M)
Cloudflare Workers AI
Novita AI$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.

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Model Specs

Released2024-01-27
Parameters568M
Context8k
ArchitectureEncoder Only