Google: EmbeddingGemma 2
One API key. Live prices. Ready-to-run code.
EmbeddingGemma 2 is Google DeepMind's 740M embedding model for search, retrieval and clustering.
Served on OneInfer by DeepInfra. Use it with the same API key and pay-as-you-go wallet as every other model in the catalog.
google/embeddinggemma-2Call EmbeddingGemma 2 in 4 steps
Create a key in the Console. The same key works for every model on OneInfer.
- Input tokens
- $0.022 / 1M tokens
- Context
- 8K
- Input
- text
- Output
- embeddings
- Tool calling
- Not listed
About this model
EmbeddingGemma 2 is Google DeepMind's 740M embedding model for search, retrieval and clustering. It makes 768-dimension vectors, or shorter ones on request (dimensions), from inputs of up to 8192 tokens.
Input modalities
text
Accepted as model input
Providers
Available routing options for this model through OneInfer.
- Available
- Input tokens
- $0.022 / 1M tokens
- Routing
- OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.022 / 1M tokens |
Performance and benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet.
API guide
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below.Check your credits
If your balance is too low, before calling the model.
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl -X POST https://api.oneinfer.ai/v1/ula/embeddings \ -H "Authorization: Bearer YOUR_JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "google/embeddinggemma-2", "input": [ "OneInfer routes each request to a provider.", "Embeddings turn text into vectors." ] }'
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