OpenAI published a blog post on 6 February 2026 detailing its approach to localization, describing efforts to adapt its models for non-English languages and regional contexts [source]. The post outlines partnerships with linguistic experts, expanded training data in multiple languages, and adjustments to model behavior for cultural norms.

The company states it is working to reduce English-centric biases in outputs and improve performance for users in non-English-speaking regions. Specific languages mentioned include Spanish, French, German, Japanese, and Hindi, with plans to expand further. OpenAI describes localization as "making AI work for everyone, everywhere," emphasizing accessibility and relevance across geographies.

The announcement follows user reports over the past year of GPT models defaulting to English idioms, cultural references, and formatting conventions even when prompted in other languages. Independent testing has documented instances where models provided U.S.-centric legal advice when queried in Spanish, or defaulted to Gregorian calendar formats when responding in Arabic [source].

OpenAI's post does not specify which models will receive localization updates, nor does it provide timelines for deployment. The company notes that localization involves "ongoing iteration" and that some regional adaptations may introduce new edge cases.

The blog post includes examples of improved outputs in non-English languages but does not disclose the datasets or evaluation methods used to measure localization quality. OpenAI states it is consulting with regional partners but does not name them or describe the scope of these collaborations.

The announcement represents OpenAI's first public statement on systematic localization efforts, though the company has previously released multilingual models without detailed documentation of regional tuning.