# Embed Multilingual V3 API Pricing

As of October 10, 2026, Embed Multilingual V3 costs $0.10 per 1M input tokens on Amazon Bedrock. It has a 512-token context window.

- Page: https://models.litellm.ai/models/embed-multilingual-v3
- Lab: Cohere
- LiteLLM model name: `cohere.embed-multilingual-v3`
- Context window: 512 tokens
- Added to LiteLLM: January 2024
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Amazon Bedrock | `cohere.embed-multilingual-v3` | $0.10 | $0 | – | – | – | 512 |

## Cost examples

Embedding 10,000 documents of 500 tokens each:

- Amazon Bedrock: $0.50

## Use it with LiteLLM

```python
from litellm import embedding

response = embedding(
    model="cohere.embed-multilingual-v3",
    input=["hello world"],
)
```

## FAQ

### How much does Embed Multilingual V3 cost?

Embed Multilingual V3 costs $0.10 per 1M input tokens on Amazon Bedrock.

### What is the context window of Embed Multilingual V3?

Embed Multilingual V3 has a 512-token context window.

### Which providers offer Embed Multilingual V3?

Embed Multilingual V3 is available from Amazon Bedrock through LiteLLM, using the model name cohere.embed-multilingual-v3.

### How do I call Embed Multilingual V3 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="cohere.embed-multilingual-v3", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/embeddings from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### When did LiteLLM add Embed Multilingual V3?

Embed Multilingual V3 was added to LiteLLM's model price file in January 2024.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json