Embedding-2
Last refreshed
2026-07-11
Status
Researched 45d ago
ProprietaryCommercial use: conditional
Embedding-2 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
- Family
- GLM Embedding
- Specialization
- embedding
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
Created by
Pricing
Output / 1M
-
Input / 1M
-
Cheapest of 1 route · Zhipu AI GLM API
Links
About
Embedding-2 is Zhipu AI's second-generation text-vector model for producing reusable semantic embeddings through the public BigModel embeddings API.
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.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| 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.
Created by
Pricing
Output / 1M
-
Input / 1M
-
Cheapest of 1 route · Zhipu AI GLM API
Links