> ## 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.

# Qwen3 Embedding 8B API

> Qwen3 Embedding 8B embeddings API on Venice: 4,096 dimensions, 32K input tokens, $0.0125 per 1M tokens. Private, with zero data retention.

> [accordion] Plain-text specification
>
> ## Qwen3 Embedding 8B API
>
> Qwen3 Embedding 8B is an embedding model by Alibaba Qwen, available on the Venice API as `text-embedding-qwen3-8b`. It runs privately, with zero data retention.
>
> ### Qwen3 Embedding 8B API pricing
>
> | Model ID | Variant | Privacy | Price |
> | - | - | - | - |
> | `text-embedding-qwen3-8b` | Standard | Private | \$0.0125 / 1M tok |
>
> ### Qwen3 Embedding 8B specifications
>
> | Spec | Value |
> | - | - |
> | Provider | Alibaba Qwen |
> | Released | Apr 17, 2026 |
> | Privacy | Private |
> | Status | Stable |
> | Open weights | Yes |
> | Dimensions | 4,096 |
> | Max input | 32K tokens |
>
> ### How to use the Qwen3 Embedding 8B API
>
> Send requests to `POST https://api.venice.ai/api/v1/embeddings` with `"model": "text-embedding-qwen3-8b"` 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-qwen3-8b",
>     "input": "Private AI for everyone."
>   }'
> ```
>
> ### Related models
>
> * [Qwen3 Embedding 0.6B API](https://docs.venice.ai/models/qwen3-embedding-0-6b.md): \$0.0125 / 1M tok
> * [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


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