AI Rate CardEmbed V 4.0 · aihubmix
Cohere’s Embed 4 is a multilingual multimodal embedding model. It is capable of transforming different modalities such as images, texts, and interleaved images and texts into a single vector representation. Embed 4 offers state-of-the-art performance across all modalities (texts, images, interleaved texts and image) and in both English and multilingual settings. Embed 4 supports a 128k context length and an images can have a maximum of 2MM pixels.
Input, $/1M $0.12
Output, $/1M —
Price alerts
API
OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.
| API base URL | |
|---|---|
| Endpoint | |
| Model id | |
curl
curl https://aihubmix.com/api/v1/embeddings \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "embed-v-4-0", "input": ["first text", "second text"]}'Python
import requests
r = requests.post(
"https://aihubmix.com/api/v1/embeddings",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "embed-v-4-0",
"input": [
"first text",
"second text"
]
},
)
print(r.json())JavaScript
const r = await fetch("https://aihubmix.com/api/v1/embeddings", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "embed-v-4-0",
"input": [
"first text",
"second text"
]
}),
});
console.log(await r.json());Request (JSON)
{
"model": "embed-v-4-0",
"input": [
"first text",
"second text"
]
}Response (JSON)
{
"object": "list",
"model": "embed-v-4-0",
"data": [
{
"object": "embedding",
"index": 0,
"embedding": [
0.0123,
-0.0456,
"..."
]
}
],
"usage": {
"prompt_tokens": 6,
"total_tokens": 6
}
}The address is taken from the provider's model list; check it against the provider's documentation.
Source: AI Rate Card, https://airatecard.com/en/c/offer%3Aaihubmix%7Cembed-v-4-0, prices checked 2026-11-04; seller's page: https://aihubmix.com
Technical details
ID: offer:aihubmix|embed-v-4-0