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Qwen: Qwen3 Embedding 4B

qwen/qwen3-embedding-4b

Created Oct 28, 202532,768 context

$0.02/M input tokens$0/M output tokens

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

Qwen3 Embedding 4B - API, Providers, Stats | OpenRouter

Providers for Qwen3 Embedding 4B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Qwen3 Embedding 4B

Compare different providers across OpenRouter

Apps using Qwen3 Embedding 4B

Top public apps this week using this model

Recent activity on Qwen3 Embedding 4B

Total usage per day on OpenRouter

Uptime stats for Qwen3 Embedding 4B

Uptime stats for Qwen3 Embedding 4B across all providers

Sample code and API for Qwen3 Embedding 4B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible embeddings API that you can call directly, or using the OpenAI SDK.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.