Guide – Which AI is best for reasoning? 2025 model comparison

Guía – ¿Qué IA es la mejor para razonar? Comparativa de modelos 2025

Brain Code |

Reasoning is one of the most complex challenges for generative artificial intelligence models. It's no longer enough for AIs to simply complete texts; they must now understand contexts, infer, and make logical decisions. In this guide, we review which current models reason best and why.

Step-by-step guide:

  1. What do we mean by "reasoning"?
    It refers to the model's ability to infer conclusions from incomplete information, make logical deductions, solve complex problems, and maintain coherence throughout the dialogue.

  2. The most outstanding models in reasoning (2025):

    • GPT-4 (OpenAI): Excels in logical reasoning, structuring ideas, and contextual understanding. Has stable working memory and excellent performance in programming, analysis, and writing tasks.

    • Claude 3 Opus (Anthropic): He excels in reflective thinking and argumentation. He has an "inner voice" more focused on honesty and self-control, which improves logical coherence.

    • Gemini 1.5 Pro (Google DeepMind): Optimized for multimodal tasks, it excels in technical and scientific reasoning, especially in mathematics and symbolic logic.

    • Mistral Mixtral 8x7B: Although lighter, it surprises with its efficiency in structured tasks and mid-level reasoning.

  3. Which models stand out in different reasoning scenarios?

    When it comes to complex tasks, each generative AI model has distinct strengths. GPT-4, for example, excels at constructing complex arguments and structuring ideas coherently, making it ideal for technical writing or research. Claude 3 Opus, on the other hand, has a highly refined ability to reason step by step and detect contradictions, making it a solid choice for solving complex problems or evaluating the logic behind a claim.

    On the other hand, Gemini 1.5 Pro demonstrates outstanding performance in technical environments, especially in mathematical logic and programming, thanks to its multimodal approach. Finally, Mixtral 8x7B, although a lighter model, surprises with its efficiency in tasks that require structure, such as classification, organizing ideas, or planning.

  4. What about multimodal reasoning?
    Gemini 1.5 and GPT-4V (with vision) lead in scenarios where reasoning between images, texts and diagrams is required.

  5. Final recommendation:
    If logical reasoning is key to your task, Claude and GPT-4 are the most reliable options available today. For technical or visual tasks, Gemini is an excellent choice.

Leave a comment