Gemini Embedding
gemini-embedding-001
Last refreshed 2026-05-11. Next refresh: weekly.
Gemini Embedding is worth evaluating for general LLM work when its provider route and context window match the workload.
Decision context: Coding task fit, 2 tracked provider routes, and research from 2026-04-19.
Use it for
- Teams evaluating general LLM work
- Buyers comparing 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
Free
GCP Vertex AI per 1M tokens
Provider routes
2
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-04-19
Researched 29d ago
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| GCP Vertex AI | $0.150 | Free | Serverless |
| Google AI Studio | $0.150 | Free | Serverless |
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.
About
Google Gemini embeddings model for semantic text representation.
Gemini Embedding input tokens at $0.15/1M, output at $0/1M.
Capabilities
No model capability flags are currently sourced.
