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How does GPT-4.5 handle multilingual dialects compared to GPT-4


GPT-4.5 and GPT-4 both offer significant advancements in multilingual capabilities, but there are nuanced differences in how they handle multilingual dialects.

**GPT-4 is notable for its ability to process and generate text in multiple languages, thanks to its training on a large and diverse dataset. This model demonstrates improved performance in handling complex linguistic structures and nuances across different languages. GPT-4's larger context window and increased parameter count enhance its ability to understand and generate more accurate and contextually relevant text in various languages[2].

**GPT-4.5 builds upon these advancements by further refining its multilingual proficiency. It is designed to support a broader range of languages, which can improve global accessibility and enable more inclusive communication. GPT-4.5's evaluations, such as the Multilingual Massive Language Understanding (MMLU) test, show that it outperforms GPT-4 in certain multilingual tasks. The use of professional human translators for evaluating GPT-4.5's multilingual performance ensures higher accuracy, especially in low-resource languages like Yoruba[1][3].

In terms of handling dialects, both models are capable of understanding and generating text in various dialects due to their extensive training data. However, GPT-4.5 might have a slight edge in handling dialectical nuances due to its refined training and evaluation processes, which focus on improving contextual understanding and reducing errors in language generation[4][5].

Overall, while both models are proficient in multilingual tasks, GPT-4.5 offers enhanced performance and accuracy in handling diverse languages and dialects, making it more suitable for applications requiring precise multilingual communication.

Citations:
[1] https://cdn.openai.com/gpt-4-5-system-card.pdf
[2] https://www.techtarget.com/searchenterpriseai/tip/GPT-35-vs-GPT-4-Biggest-differences-to-consider
[3] https://dev.to/maksim_tarasov_c60917a469/gpt-45-overview-2gmd
[4] https://www.cnbc.com/2025/02/27/openai-launching-gpt-4point5-general-purpose-large-language-model.html
[5] https://venturebeat.com/ai/openai-releases-gpt-4-5/
[6] https://www.chatbase.co/blog/gpt-5
[7] https://platform.openai.com/docs/models
[8] https://neoteric.eu/blog/gpt-4o-vs-gpt-4-vs-gpt-3-5-comparison-in-real-world-scenarios/