> ## 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 Large API

> Text Embedding 3 Large embeddings API on Venice: 3,072 dimensions, 8K input tokens, $0.1625 per 1M tokens. Anonymized access without your identity.

> [accordion] Plain-text specification
>
> ## Text Embedding 3 Large API
>
> Text Embedding 3 Large is an embedding model by OpenAI, available on the Venice API as `text-embedding-3-large`. Requests are anonymized, so the provider never sees your identity.
>
> ### Text Embedding 3 Large API pricing
>
> | Model ID | Variant | Privacy | Price |
> | - | - | - | - |
> | `text-embedding-3-large` | Standard | Anonymized | \$0.1625 / 1M tok |
>
> ### Text Embedding 3 Large specifications
>
> | Spec | Value |
> | - | - |
> | Provider | OpenAI |
> | Released | Apr 17, 2026 |
> | Privacy | Anonymized |
> | Status | Stable |
> | Dimensions | 3,072 |
> | Max input | 8K tokens |
>
> ### How to use the Text Embedding 3 Large API
>
> Send requests to `POST https://api.venice.ai/api/v1/embeddings` with `"model": "text-embedding-3-large"` 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-large",
>     "input": "Private AI for everyone."
>   }'
> ```
>
> ### Related models
>
> * [Gemini Embedding 2 Preview API](https://docs.venice.ai/models/gemini-embedding-2-preview.md): \$0.25 / 1M tok
> * [BGE-M3 API](https://docs.venice.ai/models/bge-m3.md): \$0.15 / 1M tok
> * [Text Embedding 3 Small API](https://docs.venice.ai/models/text-embedding-3-small.md): \$0.025 / 1M tok
> * [BGE-EN-ICL API](https://docs.venice.ai/models/bge-en-icl.md): \$0.0125 / 1M tok


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