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',})More models by Alibaba
| Model |
|---|
| 240K | 2.9s | 69tps | $1.30/M | $7.80/M | Read:$0.26/M Write:$1.63/M | — | — |  | 04/20/2026 | ||||
| 1M | 0.4s | 56tps | $0.50/M | $3.00/M | Read:$0.1/M Write:$0.63/M | — | — |  | 04/02/2026 | ||||
| 1M | 1.7s | 167tps | $0.10/M | $0.40/M | Read:$0.0/M Write:$0.13/M | — | — | | 02/24/2026 | ||||
| 1M | 1.2s | 110tps | $0.40/M | $2.40/M | Read: $0.04/M Write: $0.5/M | — | — | | 02/16/2026 | ||||
| 262K | 0.5s | 55tps | $0.20/M | $0.88/M | Read:$0.11/M Write:— | — | — |   | 09/24/2025 | ||||
| 262K | 0.2s | 115tps | $0.15/M | $0.60/M | — | — |  | 04/01/2025 |