Mistral 3: the new family of open and multimodal models

At a time when generative artificial intelligence is advancing rapidly and already present across a wide range of markets, companies are facing a new technological landscape.

As a result, they need models that are reliable, adaptable, and operationally controllable—both in open‑source solutions and in well‑established commercial platforms.

It is precisely in this context that Mistral 3, recently released, positions itself as one of the most mature proposals within the open‑model ecosystem. Below, we explain what Mistral is and why its new Mistral 3 model stands out compared to other alternatives.

Why Mistral’s open approach makes a difference

Mistral has become one of the leading references in the development of high‑performance open AI models. Its goal is to offer powerful, efficient, and easily integrable models aimed at organizations that want to combine innovation with operational control. In short, it is a way to make advanced AI accessible also for organizations seeking greater operational transparency.

This open model makes it possible to:

Audit system behavior.
Customize it for specific use cases.
Deploy it on the infrastructure that best fits each technological strategy, whether on‑premise, in the cloud, or in hybrid environments.

In addition, thanks to the availability of checkpoints and compatibility with open‑source tools, integration is agile, flexible, and free from vendor lock‑in.

The different Mistral 3 models

As mentioned above, Mistral has released the new Mistral 3 version. Within its portfolio, there are two main lines: Ministral, which groups the smaller and more efficient models, and Mistral, which includes the models with greater capacity and more advanced architectures.

Ministral 3 3B. This is the smallest and lightest model in the family. Despite its size, it understands text and images with notable accuracy. It is designed for edge deployments and offers stable, efficient performance across different types of hardware, including on‑premise environments.
Ministral 3 8B. A model aimed at more advanced applications. It stands out for finer analysis, broader reasoning capabilities, and more complex multimodality.
Ministral 3 14B. This is the largest model in the Ministral 3 family. It is characterized by offering performance that, according to its own published benchmarks, is close to that of significantly larger models.
Mistral Large 3. The largest model in the Mistral 3 family. This next‑generation model features open weights and is based on a granular Mixture‑of‑Experts architecture. It includes 41 billion active parameters and 675 billion total parameters. As with other Mixture‑of‑Experts models on the market, the total number of parameters does not mean that all of them are active simultaneously.

What value does Mistral 3 bring to enterprises?

For organizations looking to adopt AI in a controlled and efficient way, Mistral 3 offers a set of decisive capabilities:

Competitive performance with open access. A model series that delivers closed‑source‑level results while preserving the transparency and control of open‑source solutions.
Multimodality and multilingual support. Enables the creation of applications that understand text, images, and complex logic in more than 40 languages.
Scalable efficiency. With models ranging from 3 billion to 675 billion parameters, users can choose the option that best fits their needs—from edge devices to enterprise‑scale workflows.
Adaptability. Suitable for a wide range of use cases, including coding, creative collaboration, and document analysis.

In such a rapidly evolving technological environment, organizations need partners capable of turning AI’s potential into real, context‑aware solutions.

At Itequia, we help organizations choose the right combination of open models and established commercial solutions, always aligned with their governance, security, and compliance requirements. We design and deliver tailor‑made solutions that combine AI, automation, and the corporate tools companies already use. Do you want to learn more? Get in touch and tell us about your case.