As generative AI models become more integrated into everyday tasks, many users wonder if they'll get better results by writing their prompts in English. The performance difference between languages is a relevant topic, especially with multilingual models like ChatGPT or Claude. Here we answer the most common questions on this subject.
Frequently Asked Questions:
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Why is it said that English gives better results?
Because most AI models have been trained using more English-language data. According to OpenAI and Anthropic, this means these models understand and generate more accurately in this language. -
So should I avoid writing prompts in Spanish?
Not necessarily. In models like GPT-4 or Gemini, Spanish is very well supported. But if you're looking for technical precision, complex contexts, or abstract reasoning, you might notice a slight advantage in using English. -
What kind of differences are noticeable between the two languages?
Some answers may be more direct, detailed, or structured in English. In Spanish, certain nuances or expressions can be interpreted ambiguously depending on the model. -
Which AI handles Spanish best?
Models like GPT-4, Gemini 1.5, and Mistral Mixtral have high multilingual performance. Additionally, there are models specifically trained in Spanish, such as MarIA and BERTIN, although they are not optimized for free generation. -
What is the practical recommendation?
If you're fluent in both languages, try writing your prompts in English when you need maximum precision or for technical tasks. For general or creative tasks, Spanish can be just as effective.