# Google: Gemini Embedding 2

- Model id: `google/gemini-embedding-2`
- Served by: -
- List price per 1M tokens, input, from: -, with 0% platform fee. A request is billed at the list price of the host that served it.
- Context: 8K
- Prices read 2026-11-15 09:33 UTC
- Page: https://plaingateway.com/models/google/gemini-embedding-2

Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It supports...

## Hosts

| Host | Endpoint | Input /M | Cache read /M | Context | Served |
|---|---|---|---|---|---|
| Google Ai Studio | `google-ai-studio` | $0.20 input | - | 8K | no |
| Google Vertex | `google-vertex/global` | $0.20 input | - | 8K | no |
| Google Vertex | `google-vertex/us` | $0.20 input | - | 8K | no |
| Google Vertex | `google-vertex/eu` | $0.22 input | - | 8K | no |

## First request

```sh
curl https://api.plaingateway.com/api/v1/embeddings \
  -H "Authorization: Bearer $PLAINGATEWAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemini-embedding-2", "input": "The quick brown fox"}'
```

Sign up at https://plaingateway.com/signup (no card), create a key, send a test call, and add credits when you want more. New accounts may get a small starting credit. The whole bootstrap for agents: https://plaingateway.com/llms.txt