Publié : 3 December 2025
Actualisé : 2 days ago
Fiabilité : ✓ Sources vérifiées
Je mets à jour cet article dès que de nouvelles informations sont disponibles.
📋 Table of Contents
In a frantic race for innovation, the field of artificial intelligence is constantly being redefined by major players such as OpenAI, Google, and Anthropic. Now, it’s Mistral AI, the rising French startup, that’s unveiling its latest advances. With the launch of the Mistral 3 model family, the French company intends to position itself as a key player in open-source AI, offering a comprehensive range of solutions tailored to various needs and uses.
🤖 A New Multimodal and Open Source Era
Mistral AI has chosen to conclude 2025 in style by presenting its “Mistral 3 model family.” This collection of models stands out for its native multimodal capability, able to process both text and images. In addition, the company announces the upcoming arrival of a model focused on reasoning. A major turning point is also the full adoption of the Apache 2.0 open-source license for the entire family, opening up new opportunities for collaboration and innovation.
🛠️ Mistral 3: A Modular Architecture for Diverse Needs
The Mistral 3 family is not limited to a single model but consists of four distinct versions, each designed to meet specific requirements. This modular approach allows users to choose the model best suited to their needs, whether it’s maximum performance or lighter use on less powerful devices.
Key Point: Mistral Large 3’s Mixture-of-Experts (MoE) architecture optimizes resource utilization, activating only 41 billion parameters per generated token out of a total of 675 billion.
Among the flagship models in this family are:
- Mistral Large 3: Mistral AI’s flagship, based on a Mixture-of-Experts (MoE) architecture that optimizes performance by activating only the necessary resources. With its 675 billion parameters, only 41 billion of which are activated per token, it positions itself as a serious competitor to the market-leading models. Mistral AI also claims second place worldwide for this model in the LMArena ranking (excluding pure reasoning models).
- The Ministral 3 series: Available in three versions (3, 8, and 14 billion parameters), this series is designed for local use, even on devices such as smartphones and laptops. Despite their smaller size, the Ministral 3 models offer multimodal capabilities and can be adapted for reasoning tasks.
Important: Mistral AI positions its Large 3 model as a direct competitor to DeepSeek-V3.1 and Kimi-K2, highlighting its ambitions to compete with the best models available.
🏆 A Comparative Table of Models
To better understand the characteristics and performance of the different models, here is a comparative table:
| Model | Number of Parameters | Architecture | Usage Type | Capabilities |
|---|---|---|---|---|
| Mistral Large 3 | 675 billion (41 billion active per token) | Mixture-of-Experts (MoE) | Server/Cloud | Maximum performance, multimodality |
| Ministral 3 (3B) | 3 billion | Standard | Local (smartphones, laptops) | Multimodality, reasoning |
| Ministral 3 (8B) | 8 billion | Standard | Local (smartphones, laptops) | Multimodality, reasoning |
| Ministral 3 (14B) | 14 billion | Standard | Local (laptops, servers) | Multimodality, reasoning, increased performance |
🌍 Mistral AI: A Key Player in the Generative AI Race
Mistral AI’s announcement comes in a context of strong competition, where major players such as Google (with Gemini 3 Pro), OpenAI, and DeepSeek are competing with innovations. By betting on an Apache 2.0 license, Mistral AI differentiates itself and encourages collaboration within the open-source community. This strategy could well allow it to gain a prominent place in the generative AI landscape, where open innovation and transparency are increasingly valued.
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