Mistral Small 3 Open-Source AI Model Introduced, Outperforms OpenAI’s GPT-4o Mini

The Mistral Small 3 AI model features 24 billion parameters.

Written by Akash Dutta, Edited by Siddharth Suvarna | Updated: 31 January 2025 17:51 IST

Highlights

The AI model is claimed to be on par with Llama 3.3 70B instruct
Mistral Small 3 is neither trained with RL nor synthetic data
It is available with the Apache 2.0 licence

Mistral Small 3 Open-Source AI Model Introduced, Outperforms OpenAI’s GPT-4o Mini

Mistral Small 3 can be used for fast-response conversational assistance

Photo Credit: Unsplash/Solen Feyissa

Mistral, the Paris-based artificial intelligence (AI) firm, released the Mistral Small 3 AI model on Thursday. The company, known for its open-source large language models (LLMs), has also made the latest AI model available on Hugging Face as well as several other platforms. Mistral claimed that the latest model was built with processing speed, efficiency, and performance in mind, and it can outperform models double its size. The AI firm's internal testing found the model to offer better performance than OpenAI's GPT-4o mini.

Mistral Small 3 AI Model Released

In a newsroom post, the French AI firm detailed the new AI model. Mistral Small 3 is a latency-optimised model with 24 billion parameters. The LLM is being released with both a pre-trained and an instruction-tuned checkpoint to cater to a wide range of tasks. The AI model is available under the Apache 2.0 licence for academic and commercial usage. Mistral highlighted that it is moving away from the Mistral Research Licence (MRL) model that only allows academic and research-related usage.

The company stated that the AI model is neither trained with the reinforcement learning (RL) process nor includes synthetic data (data generated from other AI models or digital sources) in the training dataset.

Snapdragon Chipsets Will Be Optimised for Mistral’s On-Device AI Models

Based on internal tests, the AI firm claimed that Mistral Small 3 outperforms GPT-4o mini in terms of latency. It also performed better than the OpenAI LLM on the Massive Multitask Language Understanding (MMLU) Pro and the Graduate-Level Google-Proof Q&A (GPQA) main benchmarks. The developers also revealed that the model is competitive with the Llama 3.3 70B model, despite being three times smaller.

As per the company, this model can be used for use cases where efficiency or speed matters to developers. Some of the suggested use cases include scenarios where fast-response conversational assistance is critical, scenarios where low-latency function calling is important, or scenarios where developers want to create a chatbot that is subject matter expert by fine-tuning the LLM.

The AI model can also be used for organisations that prefer local inference to safeguard sensitive or proprietary data. Notably, Mistral Small 3 can be run privately on a single Nvidia RTX 4090 GPU. Developers can access the model from its Hugging Face listing.

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