# Mixtral 8x22B Instruct API Pricing

As of October 10, 2026, Mixtral 8x22B Instruct costs $1.20 per 1M input tokens and $1.20 per 1M output tokens from Vercel AI Gateway, the lowest of 2 providers. It has a 65,536-token context window and returns up to 2,048 tokens per response.

- Page: https://models.litellm.ai/models/mixtral-8x22b-instruct
- Lab: Mistral AI
- LiteLLM model name: `vercel_ai_gateway/mistral/mixtral-8x22b-instruct`
- Context window: 65,536 tokens
- Max output: 2,048 tokens
- Added to LiteLLM: May 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 |
|---|---|---|---|---|---|---|---|
| Vercel AI Gateway | `vercel_ai_gateway/mistral/mixtral-8x22b-instruct` | $1.20 | $1.20 | – | – | – | 64K |
| Fireworks AI | `fireworks_ai/accounts/fireworks/models/mixtral-8x22b-instruct` | $1.20 | $1.20 | – | – | – | 64K |

## Cost examples

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

- Vercel AI Gateway: $3.00
- Fireworks AI: $3.00

## Features

Supported: Function calling.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="vercel_ai_gateway/mistral/mixtral-8x22b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Mixtral 8x22B Instruct cost?

Mixtral 8x22B Instruct costs $1.20 per 1M input tokens and $1.20 per 1M output tokens from Vercel AI Gateway, the lowest of 2 providers.

### What is the context window of Mixtral 8x22B Instruct?

Mixtral 8x22B Instruct has a 65,536-token context window and returns up to 2,048 tokens per response.

### Which providers offer Mixtral 8x22B Instruct?

Mixtral 8x22B Instruct is available from 2 providers through LiteLLM: Vercel AI Gateway and Fireworks AI.

### How do I call Mixtral 8x22B Instruct with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="vercel_ai_gateway/mistral/mixtral-8x22b-instruct", 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.

### What features does Mixtral 8x22B Instruct support?

Mixtral 8x22B Instruct supports function calling.

### When did LiteLLM add Mixtral 8x22B Instruct?

Mixtral 8x22B Instruct was added to LiteLLM's model price file in May 2024.

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