# Cohere Embed V3 Multilingual API Pricing

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

- Page: https://models.litellm.ai/models/cohere-embed-v3-multilingual
- LiteLLM model name: `azure_ai/Cohere-embed-v3-multilingual`
- Context window: 512 tokens
- Added to LiteLLM: October 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 |
|---|---|---|---|---|---|---|---|
| Azure AI Foundry | `azure_ai/Cohere-embed-v3-multilingual` | $0.10 | $0 | – | – | – | 512 |

## Cost examples

Embedding 10,000 documents of 500 tokens each:

- Azure AI Foundry: $0.50

## Use it with LiteLLM

```python
from litellm import embedding

response = embedding(
    model="azure_ai/Cohere-embed-v3-multilingual",
    input=["hello world"],
)
```

## FAQ

### How much does Cohere Embed V3 Multilingual cost?

Cohere Embed V3 Multilingual costs $0.10 per 1M input tokens on Azure AI Foundry.

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

Cohere Embed V3 Multilingual has a 512-token context window.

### Which providers offer Cohere Embed V3 Multilingual?

Cohere Embed V3 Multilingual is available from Azure AI Foundry through LiteLLM, using the model name azure_ai/Cohere-embed-v3-multilingual.

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

Use the LiteLLM Python SDK with model="azure_ai/Cohere-embed-v3-multilingual", 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 Cohere Embed V3 Multilingual?

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

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