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 Cloud
| Model |
|---|
| 1M | 1.9s | 382tps | $0.32/M | $1.28/M | Read:$0.08/M Write:$0.5/M | — | +2 |    | 06/02/2026 | |||
| 991K | 2.3s | 55tps | $2.50/M | $7.50/M | Read:$0.5/M Write:$3.13/M | — | | 05/21/2026 | ||||
| 1M | 1.5s | 110tps | $0.50/M | $3/M | Read: $0.1/M Write: $0.63/M | — | +1 | | 04/02/2026 | |||
| 1M | 1.1s | 157tps | $0.10/M | $0.40/M | Read:$0.0/M Write:$0.13/M | — | +1 | | 02/24/2026 | |||
| 33K | $0.01/M | — |  | 11/14/2025 | ||||||||
| 262K | 0.5s | 83tps | $0.09/M | $0.10/M | — |   | 04/28/2025 |
