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Qwen3 Embedding 4B

Qwen3 Embedding 4B is a mid-tier 4-billion-parameter text embedding model producing 2560-dimensional vectors over a context of 32.8K tokens, designed for multilingual semantic search and code retrieval that balances quality with operational cost.

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


const result = await embed({
  model: 'alibaba/qwen3-embedding-4b',
  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
$0.02/M——
06/05/2025