# Cohere Embed Multilingual v3 (Bedrock)

Cohere Embed Multilingual v3 (Bedrock) costs $0.1 per 1M input tokens on LLM API and returns 1024-dimension vectors, with a 512-token input limit.

Model ID: `cohere.embed-multilingual-v3` · Cohere · Embeddings · Released November 14, 2023
Updated: 2026-10-13
Canonical: https://llmapi.ai/models/cohere-embed-multilingual-v3/

- Input: $0.1 per 1M tokens
- Dimensions: 1024
- Max input: 512 tokens

## Pricing

Served by AWS Bedrock, the only provider.

| Price | Amount | Per |
| --- | --- | --- |
| Input | $0.1 | per 1M tokens |

**Volume pricing.** At higher monthly volume, Cohere Embed Multilingual v3 (Bedrock) may cost less. Book a call and sales will quote a price for your usage. [Book a call with sales](https://meetings.hubspot.com/julia-andriienko/llmapi) or [Create an account first](https://app.llmapi.ai/signup).

## Specifications

- Dimensions: 1024
- Max input: 512 tokens

## Call Cohere Embed Multilingual v3 (Bedrock)

### Embeddings (`POST /v1/embeddings`)

Set LLMAPI_KEY to your LLM API key.

```python
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

result = client.embeddings.create(model="cohere.embed-multilingual-v3", input="Hello")
print(len(result.data[0].embedding))
```

Docs: [Embeddings docs](https://docs.llmapi.ai/api/v1/embeddings)

## More from Cohere

- [Cohere Embed English v3 (Bedrock)](https://llmapi.ai/models/cohere-embed-english-v3/): $0.1 per 1M tokens

Prices synced 2026-11-09.

Next step: [Get API key](https://app.llmapi.ai/signup)