Anthropic study finds Claude is warmer in Hindi, more analytical in English

HIGHLIGHTS

Claude showed the highest levels of warmth in Hindi and Arabic, using more humour, encouragement and polite language.

English and Russian responses leaned towards analytical thinking, caution and evidence-backed reasoning.

Anthropic analysed over 309,000 conversations across 20 languages and three Claude AI models for the study.

The language you choose while chatting with an AI chatbot may influence more than just the language of the response. A new study by Anthropic has found that Claude AI shows different behavioral traits depending on the language used, with Hindi conversations tending to be more warmer, encouraging and polite compared to English.

The research analysed over 309,000 anonymised conversations across Claude Sonnet 4.6, Opus 4.6 and Opus 4.7 in the 20 most widely used languages on the Claude platform. Instead of testing factual accuracy, the study focused on conversations including advice, feedback and opinions to understand how Claude interacts with users.

Anthropic grouped Claude’s responses into four behavioural dimensions- Deference vs. Caution, Warmth vs. Rigor, Depth vs. Brevity, and Candor vs. Execution. As per the company, these categories help explain how the AI adapts the communication styles across languages.

In the blog post, the company mentioned that the biggest difference was found in the Warmth vs. Rigor category. Claude expressed the highest levels of warmth in Hindi and Arabic. The chatbot, in Hindi, was more likely to use the polite language, humour and playful expressions along with reassurance and encouragement. It was also found validating users’ ideas, adapt its tone to conversation and motivating the users to pursue their goals.

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On the other hand, the English responses were more towards analytical thinking and precision. Anthropic found that Claude was more likely to challenge assumptions, correct factual details and support its answers with evidence. The company noted that English and Russian conversations consistently scored higher on the “rigor” side of the scale.

In the entire study, the company stated that Sonnet 4.6 was the warmest model which frequently used humour and emotionally supportive language. Opus 4.7, in contrast, was more analytical, often explaining its reasoning, showing risks and acknowledging its own limitations. The Opus 4.6 was found between the two, offering concise responses while sticking closely to user requests.

The company also clarified that these findings do not suggest that Claude holds different beliefs in different languages. Instead, it is the difference in communication style across languages and models.

Ashish Singh

Ashish Singh is the Chief Copy Editor at Digit. He's been wrangling tech jargon since 2020 (Times Internet, Jagran English '22). When not policing commas, he's likely fueling his gadget habit with coffee, strategising his next virtual race, or plotting a road trip to test the latest in-car tech. He speaks fluent Geek.

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