> ## 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.

# Text Embedding 3 Small API

> Text Embedding 3 Small embeddings API on Venice: 1,536 dimensions, 8K input tokens, $0.025 per 1M tokens. Anonymized access without your identity.

> [accordion] Plain-text specification
>
> ## Text Embedding 3 Small API
>
> Text Embedding 3 Small is an embedding model by OpenAI, available on the Venice API as `text-embedding-3-small`. Requests are anonymized, so the provider never sees your identity.
>
> ### Text Embedding 3 Small API pricing
>
> | Model ID | Variant | Privacy | Price |
> | - | - | - | - |
> | `text-embedding-3-small` | Standard | Anonymized | \$0.025 / 1M tok |
>
> ### Text Embedding 3 Small specifications
>
> | Spec | Value |
> | - | - |
> | Provider | OpenAI |
> | Released | Apr 17, 2026 |
> | Privacy | Anonymized |
> | Status | Stable |
> | Dimensions | 1,536 |
> | Max input | 8K tokens |
>
> ### How to use the Text Embedding 3 Small API
>
> Send requests to `POST https://api.venice.ai/api/v1/embeddings` with `"model": "text-embedding-3-small"` 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-3-small",
>     "input": "Private AI for everyone."
>   }'
> ```
>
> ### Related models
>
> * [BGE-EN-ICL API](https://docs.venice.ai/models/bge-en-icl.md): \$0.0125 / 1M tok
> * [Multilingual E5 Large Instruct API](https://docs.venice.ai/models/multilingual-e5-large-instruct.md): \$0.0125 / 1M tok
> * [Nemotron Embed VL 1B v2 API](https://docs.venice.ai/models/nemotron-embed-vl-1b-v2.md): \$0.0125 / 1M tok
> * [Qwen3 Embedding 0.6B API](https://docs.venice.ai/models/qwen3-embedding-0-6b.md): \$0.0125 / 1M tok


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.