# Mistral Medium 3.5 API Pricing

As of October 10, 2026, Mistral Medium 3.5 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Mistral AI, with cache reads at $0.15 per 1M tokens. It has a 262,144-token context window and returns up to 262,144 tokens per response.

- Page: https://models.litellm.ai/models/mistral-medium-3-5
- Lab: Mistral AI
- LiteLLM model name: `mistral/mistral-medium-3-5`
- Context window: 262,144 tokens
- Max output: 262,144 tokens
- Added to LiteLLM: June 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 |
|---|---|---|---|---|---|---|---|
| Mistral AI | `mistral/mistral-medium-3-5` | $1.50 | $7.50 | $0.15 | – | – | 256K |
| Mistral AI | `mistral/mistral-medium-3.5` | $1.50 | $7.50 | $0.15 | – | – | 256K |
| Azure AI Foundry | `azure_ai/mistral-medium-3-5` | $1.50 | $7.50 | – | – | – | 128K |

## Cost examples

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

- Mistral AI: $6.75
- Azure AI Foundry: $6.75

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Mistral AI: $16.50
- Azure AI Foundry: $16.50

## Features

Supported: Function calling, Structured output, Image input, Reasoning.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="mistral/mistral-medium-3-5",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Mistral Medium 3.5 cost?

Mistral Medium 3.5 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens on Mistral AI, with cache reads at $0.15 per 1M tokens.

### What is the context window of Mistral Medium 3.5?

Mistral Medium 3.5 has a 262,144-token context window and returns up to 262,144 tokens per response.

### Which providers offer Mistral Medium 3.5?

Mistral Medium 3.5 is available from 2 providers through LiteLLM: Mistral AI and Azure AI Foundry.

### How do I call Mistral Medium 3.5 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="mistral/mistral-medium-3-5", 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 Mistral Medium 3.5 support?

Mistral Medium 3.5 supports function calling, structured output, image input and reasoning.

### When did LiteLLM add Mistral Medium 3.5?

Mistral Medium 3.5 was added to LiteLLM's model price file in June 2026.

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