Qwen3.7 Text Embedding

Embedding model

The highest-performing model, supporting advanced features such as task instruction and a sparse vector

Use it via API

$0.07 / 1M tok

Code example Compare

Where to call it

Alibaba Cloud Model Studio (Singapore)qwen3.7-text-embedding

Supports

Batch API

Full feature support

Overview

Alibaba · 02Embedding

Qwen3.7 Embed

The highest-performing model, supporting advanced features such as task instruction and a sparse vector

Typical price

$0.07 / 1M tok

Text input (Singapore)

Dimensions: 1024 default
Max input: 128,000 tokens per batch
Modes: text embeddings, code retrieval
Released: —

The highest-performing model, supporting advanced features such as task instruction and a sparse vector

qwen3.7-text-embedding

Typical price: $0.07 / 1M tok
Dimensions: 1024 default (2560, 2048, 1536, 1024, 768, 512 or 256)
Max input: 128,000 tokens per batch (20 texts per call)
Languages: 201 languages and dialects
Weights: Closed
Released: —

text embeddings
code retrieval
sparse vectors (dense, sparse or both)
cross-lingual retrieval