Qwen 3 Embedding 8B

Model Information

Display Name: Qwen 3 Embedding 8B

API Model ID: qwen/qwen3-embedding-8b

Category: Text To Embedding

Description: Qwen 3 Embedding 8B é o modelo de embeddings mais avançado da série Qwen, oferecendo representações vetoriais de alta qualidade para busca semântica e RAG. **Key Features:** - 8K token context window - 4096 dimension embeddings - State-of-the-art em benchmarks MTEB - Suporte multilíngue (100+ idiomas) - Otimizado para retrieval - Batch processing support **Capabilities:** - Semantic search - Document retrieval (RAG) - Text clustering - Similarity matching - Cross-lingual retrieval - Recommendation systems **Best For:** - Aplicações RAG de alta qualidade - Busca semântica avançada - Sistemas multilíngues - Clustering de documentos - Knowledge bases **Technical Specs:** - Parameters: 8B - Embedding Dimensions: 4096 - Context: 8K tokens - Languages: 100+ supported - License: Apache 2.0 (Open Source)

Context Window: 8,192 tokens

How to Use This Model

To use Qwen 3 Embedding 8B via the HInow.ai API, use the model ID: qwen/qwen3-embedding-8b

API Request Example (Chat/Text)


POST https://api.hinow.ai/v1/chat/completions
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "qwen/qwen3-embedding-8b",
  "messages": [
    {"role": "user", "content": "Your message here"}
  ]
}
              

Pricing

  • input: $0.09

Available Parameters

  • encoding_format: Format of embeddings. Default: float (Options: float, base64)
  • dimensions: Output dimensions (model default: 4096) (Options: 512, 1024, 2048, 4096)

Quick Reference

To use this model, set: "model": "qwen/qwen3-embedding-8b"

Featured: No

Documentation: https://hinow.ai/models/qwen/qwen3-embedding-8b

API Endpoint: https://api.hinow.ai/v1

Back to Models

Qwen 3 Embedding 8B

qwen/qwen3-embedding-8b

$0.090
input

About

Qwen 3 Embedding 8B é o modelo de embeddings mais avançado da série Qwen, oferecendo representações vetoriais de alta qualidade para busca semântica e RAG.

Key Features:

  • 8K token context window
  • 4096 dimension embeddings
  • State-of-the-art em benchmarks MTEB
  • Suporte multilíngue (100+ idiomas)
  • Otimizado para retrieval
  • Batch processing support

Capabilities:

  • Semantic search
  • Document retrieval (RAG)
  • Text clustering
  • Similarity matching
  • Cross-lingual retrieval
  • Recommendation systems

Best For:

  • Aplicações RAG de alta qualidade
  • Busca semântica avançada
  • Sistemas multilíngues
  • Clustering de documentos
  • Knowledge bases

Technical Specs:

  • Parameters: 8B
  • Embedding Dimensions: 4096
  • Context: 8K tokens
  • Languages: 100+ supported
  • License: Apache 2.0 (Open Source)

Capabilities

Text To Embedding
Context8K tokens

Parameters

encoding_format

Format of embeddings. Default: float

floatbase64
dimensions

Output dimensions (model default: 4096)

512102420484096

Code Examples

curl -X POST https://api.hinow.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $HINOW_API_KEY" \
  -d '{
    "model": "qwen/qwen3-embedding-8b",
    "input": "Your input here",
    "parameters": {
      "encoding_format": "float",
      "dimensions": "512"
    }
  }'