# jina-embeddings-v3

[Models](/models) / [jina-embeddings-v3](/models/jina-embeddings-v3)

Use jina-embeddings-v3 through KeepBal. POST /v1/embeddings. Input: $0.07 per 1M tokens.

## curl

```sh
curl https://keepbal.com/v1/embeddings -H 'Authorization: Bearer YOUR_KEEPBAL_KEY' -H 'Content-Type: application/json' -d '{"model":"jina-embeddings-v3","input":"Search and summarize public research."}'
```

## OpenAI SDK

```python
import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["KEEPBAL_API_KEY"], base_url="https://keepbal.com/v1")
response = client.embeddings.create(model="jina-embeddings-v3", input="Search and summarize public research.")
print(response)
```

Search for source material, inspect and run a tool, then pass the results to a model for summarization or analysis.

- [Chatgpt Ask](/tools/cloro/chatgpt-ask) — Get ChatGPT's consumer-app answer to a prompt, with cited sources, in a chosen country. — Variable: provider price plus 35%
- [Copilot Ask](/tools/cloro/copilot-ask) — Get Copilot's consumer-app answer to a prompt, with cited sources, in a chosen country. — Variable: provider price plus 35%
- [Gemini Ask](/tools/cloro/gemini-ask) — Get Gemini's consumer-app answer to a prompt, with cited sources, in a chosen country. — Variable: provider price plus 35%

## Which endpoint should I use?

POST /v1/embeddings with the exact model ID jina-embeddings-v3.

## How is usage priced?

Input: $0.07 per 1M tokens. Embeddings are billed for input tokens only. Billing uses returned token usage.

[Tools](/tools) · [MCP documentation](/docs/mcp)