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Gpt5 fails to match gpt 4o in language learning quality

GPT-5 Stumbles in Language Learning | Users Call for Retention of GPT-4o

By

Fatima Nasir

Oct 10, 2025, 11:14 PM

Edited By

Carlos Mendez

Updated

Oct 11, 2025, 08:31 PM

2 minutes needed to read

A person looking frustrated while studying Modern Greek with a laptop showing error messages from GPT5.

As discussions about GPT-5 unfold, language learners express increasing frustration over a noted decline in language learning quality. Concerns about accuracy in foreign languages are dominating conversations across forums, raising significant alarm about the AI model's reliability and effectiveness.

Feedback from Language Learners

Users are predominantly dissatisfied with GPT-5 when compared to its predecessor, GPT-4o. Many learners, particularly those focusing on Greek language studies, are reporting a concerning regression in quality. One learner emphasized their disappointment, stating that GPT-5 makes "ridiculous mistakes" that were almost nonexistent in GPT-4o.

"After launching GPT-5, I noticed increased errors related to word stress, something my studies depended on," shared another user.

Reports highlight that GPT-5 often confuses real words and fails to deliver accurate language inputs. A notable example includes mixing up "ουδέτΡρο" (neuter) with the nonexistent "νΡύτΡρο."

The Users Voicing Their Concerns

Many users are seeking alternatives, emphasizing the significant drop in quality as a reason. One user mentioned, "I have no reason to keep paying for ChatGPT when other alternatives can do better and faster."

The sentiment that models like GPT-4o are still necessary is echoed repeatedly. A user pointed out that these "less advanced" systems should remain available for those who find them beneficial in language learning.

Common Themes from User Feedback

  • Error Increase: Many users note a spike in grammatical and vocabulary errors, especially with Greek language studies.

  • Cost Concerns: A noticeable hesitation to continue using paid versions of GPT-5 as they consider cheaper alternatives that reportedly perform better.

  • Trust Erosion: Consistent mistakes led users to lose trust in AI tools for education, with several users remarking they found GPT-4o much more reliable.

Key Takeaways

  • β–³ Users report major inaccuracies in GPT-5's language outputs.

  • β–½ Many are shifting to cheaper alternatives for language learning support.

  • β€» "Some users feel GPT-4o is still the better option for accuracy and reliability."

With developers expected to tackle these pressing concerns in future updates, the big question emerges: can AI adapt to meet the evolving needs of language learners?