> ## Documentation Index
> Fetch the complete documentation index at: https://veniceai-docs-responses-api.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Embedding-Modelle

> Venice-Embedding-Modelle wie BGE-M3 und Qwen3 Embedding mit Preisen pro Token, Privacy-Stufen und OpenAI-kompatibler /embeddings-Nutzung.

<div id="model-search-placeholder" data-filter="embedding">
  Verwenden Sie den `id`-Wert als `model`-Parameter in API-Anfragen. Derzeit sind 9 Modelle verfügbar.

  | Model | ID | Input (pro 1M Tokens) | Privacy |
  | - | - | - | - |
  | BGE-EN-ICL | `text-embedding-bge-en-icl` | \$0.01 | Private |
  | BGE-M3 | `text-embedding-bge-m3` | \$0.15 | Private |
  | Gemini Embedding 2 Preview | `gemini-embedding-2-preview` | \$0.25 | Anonymized |
  | Multilingual E5 Large Instruct | `text-embedding-multilingual-e5-large-instruct` | \$0.01 | Private |
  | Nemotron Embed VL 1B v2 | `text-embedding-nemotron-embed-vl-1b-v2` | \$0.01 | Private |
  | Qwen3 Embedding 0.6B | `text-embedding-qwen3-0-6b` | \$0.01 | Private |
  | Qwen3 Embedding 8B | `text-embedding-qwen3-8b` | \$0.01 | Private |
  | Text Embedding 3 Large | `text-embedding-3-large` | \$0.16 | Anonymized |
  | Text Embedding 3 Small | `text-embedding-3-small` | \$0.03 | Anonymized |
</div>

***

<Note>
  Verwendungsbeispiele finden Sie in der [Embeddings-API](/de/api-reference/endpoint/embeddings/generate).
</Note>


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