> ## Documentation Index
> Fetch the complete documentation index at: https://veniceai-mintlify-ce69695c.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Modelli di embedding

> Modelli di embedding Venice come BGE-M3 e Qwen3 Embedding con prezzi per token, livelli di privacy e uso di /embeddings compatibile con OpenAI.

<div id="model-search-placeholder" data-filter="embedding">
  Usa il valore `id` come parametro `model` nelle richieste API. 9 modelli attualmente disponibili.

  | Modello | ID | Input (per 1M token) | 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>
  Consulta l'[API Embeddings](/it/api-reference/endpoint/embeddings/generate) per esempi d'uso.
</Note>


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