# Mistral AI vs Munito AI

URL: https://munito.ai/compare/mistral

The Mistral AI API and Munito AI side by side for open models in the EU: regions, data retention, APIs, OCR, decision models and prices.

Choose Mistral AI for its own frontier models, for fine-tuning, and for a European brand a board already knows. Choose Munito AI for posted prices on each open model, an Anthropic-compatible API, OCR billed per page, decision models, and a region you can prove from a response header.

Facts and the catalogue checked on 2026-11-07. Mistral publishes one per-token price on its pricing page, so the table below is short on purpose. Check prices at the source.

## At a glance

|                     | Munito AI                 | Mistral AI                          |
| ------------------- | ------------------------- | ----------------------------------- |
| Own model weights   | No, open models only      | Yes, its own family                 |
| Open models served  | DeepSeek, GLM, Qwen, Gemma | GLM 5.3, GLM 5.3 Flash, DeepSeek V4.1 Flash 1017 |
| Where it runs       | EU, US or global          | Not stated on the pricing page      |
| Region in a header  | Yes, `munito-region`      | No                                  |
| Prompts kept        | No                        | Opt-out, per the pricing table      |
| API formats         | OpenAI and Anthropic      | Its own, plus OpenAI compatibility  |
| OCR                 | Per page                  | Per 1,000 pages                     |
| Decision models     | Yes                       | No                                  |
| Self-hosting        | Yes                       | Yes, on the Enterprise plan         |
| Fine-tuning         | No                        | Yes                                 |

The notable change this year is that Mistral is no longer only a model lab. Its catalogue now lists Z.ai GLM 5.3, GLM 5.3 Flash and DeepSeek V4.1 Flash 1017 beside its own Mistral Large 4, Mistral Small 4 and the Ministral 3 family. On the open models, the two platforms now sell the same thing.

## Prices

Standard tier, per million tokens, input / output, in USD.

| Model                    | Munito AI, EU | Mistral AI          |
| ------------------------ | ------------- | ------------------- |
| DeepSeek-V4.1-Flash-1017 | $0.30 / $1.20 | Not published       |
| GLM-5.3-Flash            | $0.15 / $0.50 | Not published       |
| Mistral Large            | Not offered   | $0.50 / $1.50       |
| Qwen3.8-27B              | $0.20 / $2.70 | Not offered         |
| DeepSeek-V4-Flash        | $0.11 / $0.28 | Not offered         |

Mistral's pricing page names one per-token rate, for Mistral Large, and describes the rest as "priced per million tokens" without the figures. Both platforms halve the price of a batch request, and both cut the cost of a cached prefix sharply: Mistral says up to 90 per cent, and our cached input on DeepSeek-V4.1-Flash-1017 is $0.006 per million tokens.

If you are costing a project, that difference matters more than any single rate. Ours is a table you can read before you sign. See [Models and prices](https://docs.munito.ai/models).

## How to switch

Mistral offers OpenAI compatibility, so a client already pointed at an OpenAI-shaped endpoint moves with two lines:

```python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.eu.munito.ai/inference/v1",
    api_key="munitoai_...",
)
```

If your code uses the Mistral SDK directly, the port is a real one: swap the client, map the message shapes, and re-test tool calls.

## Where Mistral AI is stronger

- **Its own models.** Mistral Large 4, Mistral Small 4 and Ministral 3 exist nowhere else, and the small ones are genuinely good for their size.
- **Fine-tuning**, which we do not offer.
- **A wider product line**: Codestral for code, Voxtral for speech and transcription, Shieldstral for moderation, Timestral for time series, and embeddings.
- **Brand.** A European buyer's board knows the name, and that shortens some conversations.
- **Self-hosting with the weights of a frontier European lab**, on the Enterprise plan: "Deploy self-hosted, in your private cloud, or on-premises; your data stays in your environment."

## Where Munito AI is stronger

- **A posted price for every model**, in a table, with cached and batch rates beside it.
- **The Anthropic Messages API** beside the OpenAI Chat Completions and Responses APIs, so Claude Code connects with no proxy. See [Compatibility](https://docs.munito.ai/compatibility).
- **A region you can prove.** Send to `https://api.eu.munito.ai` and read `munito-region: EUROPE` off the response. See [Regions](https://docs.munito.ai/regions).
- **Zero data retention by default**, stated in the Terms, rather than an opt-out. See [Data privacy](https://docs.munito.ai/data-privacy).
- **A DPA that applies with no signature**, at [legal.munito.ai/dpa](https://legal.munito.ai/dpa), and a [sub-processor list](https://trust.munito.ai/subprocessors) by region.
- **OCR billed per page** at $0.0044, so a document budget is a page count.
- **Decision models**: pplx-decider-v1.2 and Cygnet answer yes or no, choice and score questions through the [Decisions API](https://docs.munito.ai/api/createDecision).
- **Model choice without a house preference.** We have no weights to defend, so the catalogue changes when a better open model ships.

## What a security review will ask

Both are European companies, so the sovereignty conversation starts from the same place. The questions that separate them are concrete: which region serves the request, whether the answer is in a header or only in a contract, whether retention is a default or an opt-out, and what the self-hosting option costs.

Our answers are linked above, and the [security review guide](https://munito.ai/security-review) collects them. Our SOC 2 audit and ISO 27001 certification work are in progress.

## Sources

Mistral AI, checked 2026-11-07: [pricing](https://mistral.ai/pricing), [models overview](https://docs.mistral.ai/getting-started/models/models_overview/).

Munito AI: [Models and prices](https://docs.munito.ai/models), [Regions](https://docs.munito.ai/regions), [Data privacy](https://docs.munito.ai/data-privacy), [Security](https://docs.munito.ai/security).