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OpenAI and Google, get ready: Microsoft is launching its most powerful AI models to date

The new Phi-3.5 series outperforms most AI models on the market

OpenAI and Google, get ready: Microsoft is launching its most powerful AI models to date

Pedro Domínguez

  • August 22, 2024
  • Updated: July 1, 2025 at 11:02 PM
OpenAI and Google, get ready: Microsoft is launching its most powerful AI models to date

Microsoft has taken a huge step in the field of artificial intelligence with the launch of three new models from the Phi-3.5 series, which not only stand out for their power and versatility, but also for outperforming those of other tech giants, such as OpenAI, Google, and Meta in various benchmark tests.

This release includes the Phi-3.5-mini-instruct, Phi-3.5-MoE-instruct, and Phi-3.5-vision-instruct, each one designed to address specific tasks, such as basic reasoning, image processing, and complex data analysis.

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The Phi-3.5-mini-instruct model, with 3.820 billion parameters, has been optimized for computationally limited environments, offering outstanding performance in tasks such as code generation, solving mathematical problems, and logic-based reasoning. Despite its compact size, this model outperforms larger ones, such as the Llama-3.1-8B-instruct and the Mistral-7B-instruct, in tests like RepoQA, which measures code comprehension in long contexts.

On the other hand, the Phi-3.5 MoE (Mixture of Experts) is Microsoft’s first model that combines different submodels specialized in various tasks. With 42 billion active parameters and an architecture designed to maintain efficiency, this model stands out in code comprehension, mathematics, and multilingual language, often outperforming larger models in specific tests.

Finally, the Phi-3.5 Vision Instruct integrates text and image processing capabilities, making it ideal for complex tasks such as optical character recognition, understanding graphics and tables, and summarizing videos. This multimodal model was trained with a combination of synthetic and public datasets, allowing it to efficiently handle visual tasks with multiple frames.

All these models are available on the Hugging Face platform under an MIT license, which allows their use and modification without restrictions, and promotes innovation in both commercial applications and advanced AI research.

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