LLM Reference

Embedding-3

Last refreshed
2026-07-11
Status
Researched today
ProprietaryCommercial use: conditional

Embedding-3 is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Specialization
embedding
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Created by

Chinese AI research lab developing GLM language models.

Beijing, China
Founded 2019
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Zhipu AI GLM API

About

Embedding-3 is Zhipu AI's third-generation text-vector API model, offering flexible output dimensions as a distinct successor to Embedding-2.

Embedding-3 is a proprietary model in the GLM Embedding family. This page tracks provider routes through Zhipu AI GLM API. No headline benchmark score is tracked for Embedding-3 yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Zhipu AI GLM API--
ServerlessPartial

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

Which providers offer Embedding-3?

Embedding-3 is available from 1 provider: Zhipu AI GLM API.