> ## Documentation Index
> Fetch the complete documentation index at: https://docs.venice.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# BGE-M3 API

> BGE-M3 embeddings API on Venice: 1,024 dimensions, 8K input tokens, $0.15 per 1M tokens. Private, with zero data retention. Pricing, specs and code examples.

> [accordion] Plain-text specification
>
> ## BGE-M3 API
>
> BGE-M3 is an embedding model by BAAI, available on the Venice API as `text-embedding-bge-m3`. It runs privately, with zero data retention.
>
> ### BGE-M3 API pricing
>
> | Model ID | Variant | Privacy | Price |
> | - | - | - | - |
> | `text-embedding-bge-m3` | Standard | Private | \$0.15 / 1M tok |
>
> ### BGE-M3 specifications
>
> | Spec | Value |
> | - | - |
> | Provider | BAAI |
> | Released | Mar 14, 2025 |
> | Privacy | Private |
> | Status | Stable |
> | Open weights | Yes |
> | Dimensions | 1,024 |
> | Max input | 8K tokens |
>
> ### How to use the BGE-M3 API
>
> Send requests to `POST https://api.venice.ai/api/v1/embeddings` with `"model": "text-embedding-bge-m3"` and your API key.
>
> ```bash theme={"system"}
> curl https://api.venice.ai/api/v1/embeddings \
>   -H "Authorization: Bearer $VENICE_API_KEY" \
>   -H "Content-Type: application/json" \
>   -d '{
>     "model": "text-embedding-bge-m3",
>     "input": "Private AI for everyone."
>   }'
> ```
>
> ### Related models
>
> * [Text Embedding 3 Large API](https://docs.venice.ai/models/text-embedding-3-large.md): \$0.1625 / 1M tok
> * [Gemini Embedding 2 Preview API](https://docs.venice.ai/models/gemini-embedding-2-preview.md): \$0.25 / 1M tok
> * [Text Embedding 3 Small API](https://docs.venice.ai/models/text-embedding-3-small.md): \$0.025 / 1M tok
> * [Multilingual E5 Large Instruct API](https://docs.venice.ai/models/multilingual-e5-large-instruct.md): \$0.0125 / 1M tok


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