Qwen3 Embedding 4B

Overview

2560-dimension embeddings — the middle of the Qwen3 retrieval line by recall, not by price. The 8B is both better and cheaper; this SKU costs twice as much per million tokens. Reach for the 4B only when the index is already fixed at 2560 dimensions.

Specs

Field	Value
Model ID	`qwen3-embedding-4b`
Best for	Existing 2560-dimension indexes
Context window	32,768
Input modalities	Text
Output modalities	Text
Speed	Medium
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.027
Output	$0.00

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")

response = client.embeddings.create(
    model="qwen3-embedding-4b",
    input=["first document", "second document"],
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=search-documents&quality_tier=strong"

​Overview

​Specs

​Pricing

​Example

​Agent query example

Overview

Specs

Pricing

Example

Agent query example