OPTES Embed 1
By OPTESTurns text into vectors so you can search your documents by meaning, not by word.
Context window32K32,000 tokens
Input$0.01530 IQDper 1M tokens
Output—
Input modalitiesText→ Embeddings
Providers1
Overview
| Model ID | optes-embed-1 |
|---|---|
| Series | OPTES |
| Context window | 32,000 tokens |
| Max output | — |
| Input modalities | Text |
| Output modalities | Embeddings |
| Providers | 1 |
Price on OPTES
OPTES's own published price, in US dollars and Iraqi dinars.
| Provider | Input | Note |
|---|---|---|
| OPTES | $0.015 · 30 IQD |
Providers
OPTES's own published price, in US dollars and Iraqi dinars.
| Provider | Input | Note |
|---|---|---|
| OPTES | $0.015 · 30 IQD |
Call it through the OPTES API
The OPTES API follows the OpenAI format: point your SDK at the OPTES base URL and use this model ID.
curl https://api.optes3.com/v1/embeddings \ -H "Authorization: Bearer $OPTES_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model": "optes-embed-1", "input": ["Returns are accepted within 14 days", "Opening hours are 9 to 5"]}'import osfrom openai import OpenAIclient = OpenAI(base_url="https://api.optes3.com/v1", api_key=os.environ["OPTES_API_KEY"])emb = client.embeddings.create(model="optes-embed-1", input=["Returns are accepted within 14 days", "Opening hours are 9 to 5"])Use it through OPTES
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