Qwen3 Embedding 4b

Qwen3 Embedding 4B is a 4B-parameter multilingual embedding model (36 layers, 32K context) that outputs 2560‑dim vectors for text/code retrieval, classification, clustering, and bitext mining. It supports instruction-conditioned embeddings and is optimized for efficient, cross-lingual representation learning.

Model details

Category	Details
Model Name	Qwen/Qwen3-Embedding-4B
Version	Original
Model Category	Embedding
Size	4B parameters
HuggingFace Model	Qwen/Qwen3-Embedding-4B
OpenAI Compatible Endpoint	Embeddings
License	Apache 2.0

Capabilities

Feature	Status
Context Length	32k tokens
Input Data	Text
Output Dimensions	256, 512, 1024, 2048, 4096

Usage

Embedding

const modelResponse = await Azion.AI.run("Qwen/Qwen3-Embedding-4B", {
  "input": "The food was delicious and the waiter...",
  "encoding_format": "float"
})

Response example:

{"id":"embd-84a83438abff420e9c785c1659ae8ad6","object":"list","created":1746821207,"model":"Qwen/Qwen3-Embedding-4B","data":[{"index":0,"object":"embedding","embedding":[0.01,...,0.005]}],"usage":{"prompt_tokens":11,"total_tokens":11,"completion_tokens":0,"prompt_tokens_details":null}}

Different dimensions can be selected by setting the dimensions parameter:

const modelResponse = await Azion.AI.run("qwen-qwen3-embedding-4b", {
  "input": "The food was delicious and the waiter...",
  "encoding_format": "float",
  "dimensions": 256
})

JSON Schema

{
    "$schema": "http://json-schema.org/draft-07/schema#",
    "type": "object",
    "required": [
        "input"
    ],
    "properties": {
        "encoding_format": {
            "type": "string",
            "enum": [
                "float",
                "base64"
            ]
        },
        "dimensions": {
            "enum": [
                256,
                512,
                1024,
                2048,
                4096
            ]
        },
        "input": {
            "oneOf": [
                {
                    "type": "string"
                },
                {
                    "type": "array",
                    "items": {
                        "oneOf": [
                            {
                                "type": "string"
                            },
                            {
                                "type": "integer"
                            },
                            {
                                "type": "array",
                                "items": {
                                    "type": "integer"
                                }
                            }
                        ]
                    }
                }
            ]
        }
    }
}