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Qwen: Qwen3 Embedding 8B

Source description (English)

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...

Overview

Model specifications

Context
32,768 tokens
Maximum output
28,800 tokens
Architecture
text->embeddings
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.01
per 1M tokens
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/embeddings \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-embedding-8b","input":"Your text here"}'
Capabilities

InputOutput

Input
text
Output
embeddings
API

Supported API parameters

Available providers

3 providers

Checked: September 23, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Nebius

Not provided
Context
32K
Maximum output
29K
Input
$0.01
Output
Free
Cache read
Not provided
Cache write
Not provided

DeepInfra

Not provided
Context
33K
Maximum output
29K
Input
$0.01
Output
Free
Cache read
Not provided
Cache write
Not provided

SiliconFlow

fp8
Context
33K
Maximum output
29K
Input
$0.04
Output
Free
Cache read
Not provided
Cache write
Not provided
qwen

4 models

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