Text Embedding V3
Qwen3-Embedding embedding model from Alibaba Cloud Model Studio official documentation.
Context window
8,192 tokens
Max output
No output limit in registry
Input price
No official price captured yet
Output price
No official price captured yet
Modalities
Input: Text; output: Embedding
API surface
2 supported endpoints
Overview
Where this model fits best
Use this section to quickly decide whether the model belongs in chat, coding, reasoning, embedding, rerank, vision, audio, or agent workflows.
Use cases
What this model should be considered for
Best fit
Use this model when you need a well-documented, structured option inside the registry and want a single place to inspect pricing, capabilities, and operational limits.
Capabilities
What you can actually do with it
Feature flags, API endpoints, and tool support are separated so integration constraints are easy to scan.
Capabilities
High-level features exposed by the model runtime.
Endpoints
APIs and surfaces this model can be called through.
Pricing
Pricing and billing signals
Known prices are shown per 1M tokens. Missing official prices are marked as not published instead of being treated as free.
No official pricing has been captured for this model yet. ModelMeta keeps unknown pricing separate from free pricing, so missing data is not shown as $0.
Check official pricing sourceControls
Runtime knobs worth knowing
Supported request parameters help developers understand sampling, output limits, reasoning controls, and structured output behavior.
Temperature
0 to 2
Top P
0 to 1
Presence Penalty
-2 to 2
Frequency Penalty
-2 to 2
Specifications
Technical reference
Canonical identifiers, family, modalities, token limits, training information, and update metadata.
Model ID
text-embedding-v3Use this exact identifier in API calls and SDK configuration.
Provider
Family
Access type
Input modalities
Output modalities
Max input tokens