# Command Text V14 API Pricing

As of October 10, 2026, Command Text V14 costs $1.00 per 1M input tokens and $2.00 per 1M output tokens on Amazon Bedrock. It has a 4,096-token context window and returns up to 4,096 tokens per response.

- Page: https://models.litellm.ai/models/command-text-v14
- Lab: Cohere
- LiteLLM model name: `cohere.command-text-v14`
- Context window: 4,096 tokens
- Max output: 4,096 tokens
- Added to LiteLLM: October 2023
- 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.command-text-v14` | $1.00 | $2.00 | – | – | – | 4K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Amazon Bedrock: $3.00

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="cohere.command-text-v14",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Command Text V14 cost?

Command Text V14 costs $1.00 per 1M input tokens and $2.00 per 1M output tokens on Amazon Bedrock.

### What is the context window of Command Text V14?

Command Text V14 has a 4,096-token context window and returns up to 4,096 tokens per response.

### Which providers offer Command Text V14?

Command Text V14 is available from Amazon Bedrock through LiteLLM, using the model name cohere.command-text-v14.

### How do I call Command Text V14 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="cohere.command-text-v14", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### When did LiteLLM add Command Text V14?

Command Text V14 was added to LiteLLM's model price file in October 2023.

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