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Qwen3 Embedding 0.6B

Qwen3 Embedding 0.6B is a compact 0.6-billion-parameter text embedding model with context of 32.8K tokens and 1024-dimensional vectors, built for cost-efficient semantic search and multilingual retrieval across more than 100 languages.

index.ts
import { embed } from 'ai';


const result = await embed({
  model: 'alibaba/qwen3-embedding-0.6b',
  value: 'Sunny day at the beach',
})
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Provider
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
ZDR
No Training
Release Date
DeepInfra
Legal:Terms
•
Privacy
33K
$0.01/M——
11/14/2025