text-embedding-v4
Alibaba·Token-based
Alibaba 的向量模型，用于将输入内容转换为数值向量，支持语义检索和相似度计算。
textembeddingscontext:8192
- Starting price
- Input / Output · 1M
- Context
- 8.2K
- Maximum input window
- Modalities
- →
Pricing by Supplier
official
-30%官方接口直连
Input$75$52.5/ 1M
Output$75$52.5/ 1M
Alibaba
阿里巴巴百炼官方
Input$82.5/ 1M
Output$82.5/ 1M
Capabilities / Supported modalities
Embeddings
Input
Output
Provider & data privacy
Provider
Unknown
Tokenizer
BPE (vendor-specific)License
Provider-specificUnknown
Data retention59 daysNot used for upstream training by default
Performance
API access
Code samples
RequestPOST
/v1/chat/completionsExample request
Parameters
| Parameter | Type | Default / range | Description |
|---|---|---|---|
inputrequired | string | — | Text or array of texts to embed |
dimensions | integer | >= 1 | Truncate embeddings to this many dimensions |
encoding_format | enum | = float | Wire encoding for the embedding vectors |
user | string | — | End-user identifier for abuse monitoring |
Replace <YOUR_API_KEY> with the API key from your token settings.
Authentication
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
Supported parameters
Generation parameters
| Parameter | Type | Default / range | Description |
|---|---|---|---|
inputrequired | string | — | Text or array of texts to embed |
dimensions | integer | >= 1 | Truncate embeddings to this many dimensions |
encoding_format | enum | = float | Wire encoding for the embedding vectors |
user | string | — | End-user identifier for abuse monitoring |
Rate limits
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Alibaba | 9.3K | 1.9M | 186K |
| official | 7.8K | 1.6M | 156K |
RPM = requests per minute, TPM = tokens per minute, RPD = requests per day. Limits apply per token group.
API access questions
Everything you need to decide before creating an account.