Ali
Qwen3-Embedding-4B
ali/qwen3-embedding-4b/v1/embeddingsQwen3-Embedding-4B是通义千问团队推出的文本嵌入模型，旨在将文本转换为高质量的向量表示，广泛用于检索、分类、聚类等任务。它拥有40亿参数，支持长达32K的上下文。 该模型具备三大优势：一是支持超过100种语言的多语言能力；二是支持灵活的向量维度自定义（32至2560），便于平衡性能与成本；三是具备指令感知能力，能通过提示词适配特定任务。在权威的MTEB多语言榜单上，其8B版本更是取得了第一名的成绩，展现了卓越的性能
- Input / output modalities
- Not provided to Not provided
- Reference input / output price
- Input¥0.5Output¥0per 1M tokens
- Context window
- 256K
- Added to catalog
- Aug 4, 2026
Providers and pricing
| Provider | Input /M | Output /M | Cached /M | Context | Max output | Details |
|---|---|---|---|---|---|---|
| Other-A-Ali | ¥0.5 | ¥0 | ¥0 | 256K | 64K |
Qwen3-Embedding-4B code examples and API guide
The upstream response does not declare a public API protocol that can be represented safely. Unknown protocols are not guessed.
Public model applications
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