# Mixtral 8x7B Instruct V0 API Pricing

As of October 10, 2026, Mixtral 8x7B Instruct V0 costs $0.45 per 1M input tokens and $0.70 per 1M output tokens on Amazon Bedrock. It has a 32,000-token context window and returns up to 8,191 tokens per response.

- Page: https://models.litellm.ai/models/mixtral-8x7b-instruct-v0
- Lab: Mistral AI
- LiteLLM model name: `mistral.mixtral-8x7b-instruct-v0:1`
- Context window: 32,000 tokens
- Max output: 8,191 tokens
- Added to LiteLLM: April 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 | `mistral.mixtral-8x7b-instruct-v0:1` | $0.45 | $0.70 | – | – | – | 32K |
| Amazon Bedrock (eu-west-3) | `bedrock/eu-west-3/mistral.mixtral-8x7b-instruct-v0:1` | $0.59 | $0.91 | – | – | – | 32K |
| Amazon Bedrock (us-east-1) | `bedrock/us-east-1/mistral.mixtral-8x7b-instruct-v0:1` | $0.45 | $0.70 | – | – | – | 32K |
| Amazon Bedrock (us-west-2) | `bedrock/us-west-2/mistral.mixtral-8x7b-instruct-v0:1` | $0.45 | $0.70 | – | – | – | 32K |

## Cost examples

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

- Amazon Bedrock: $1.25

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="mistral.mixtral-8x7b-instruct-v0:1",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Mixtral 8x7B Instruct V0 cost?

Mixtral 8x7B Instruct V0 costs $0.45 per 1M input tokens and $0.70 per 1M output tokens on Amazon Bedrock.

### What is the context window of Mixtral 8x7B Instruct V0?

Mixtral 8x7B Instruct V0 has a 32,000-token context window and returns up to 8,191 tokens per response.

### Which providers offer Mixtral 8x7B Instruct V0?

Mixtral 8x7B Instruct V0 is available from Amazon Bedrock through LiteLLM, using the model name mistral.mixtral-8x7b-instruct-v0:1.

### How do I call Mixtral 8x7B Instruct V0 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="mistral.mixtral-8x7b-instruct-v0:1", 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 Mixtral 8x7B Instruct V0?

Mixtral 8x7B Instruct V0 was added to LiteLLM's model price file in April 2024.

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