# Embed V5.0 Pro API Pricing

As of October 10, 2026, Embed V5.0 Pro costs $0.12 per 1M input tokens on Cohere. It has a 128,000-token context window.

- Page: https://models.litellm.ai/models/embed-v5.0-pro
- LiteLLM model name: `cohere/embed-v5.0-pro`
- Context window: 128,000 tokens
- Added to LiteLLM: October 3, 2026
- 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 |
|---|---|---|---|---|---|---|---|
| Cohere | `cohere/embed-v5.0-pro` | $0.12 | $0 | – | – | – | 128K |

## Cost examples

Embedding 10,000 documents of 500 tokens each:

- Cohere: $0.60

## Use it with LiteLLM

```python
from litellm import embedding

response = embedding(
    model="cohere/embed-v5.0-pro",
    input=["hello world"],
)
```

## FAQ

### How much does Embed V5.0 Pro cost?

Embed V5.0 Pro costs $0.12 per 1M input tokens on Cohere.

### What is the context window of Embed V5.0 Pro?

Embed V5.0 Pro has a 128,000-token context window.

### Which providers offer Embed V5.0 Pro?

Embed V5.0 Pro is available from Cohere through LiteLLM, using the model name cohere/embed-v5.0-pro.

### How do I call Embed V5.0 Pro with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="cohere/embed-v5.0-pro", 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 V5.0 Pro?

Embed V5.0 Pro was added to LiteLLM's model price file on October 3, 2026.

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