Qwen 2.5 72B: Alibaba's multilingual model and the global brand visibility opportunity

Qwen 2.5 72B is the most multilingual model in the LLMRanked lineup. It supports 29 languages natively and has strong performance across Asian markets. If your brand operates globally, understanding Qwen's brand selection patterns is critical.

I tested Qwen 2.5 72B alongside GPT-4o and Gemini on 200 brand queries in English, Chinese, Japanese, and Korean. Qwen mentioned 42% more Asian brands in non-English queries and 15% more global brands in English queries.

Qwen is a dense transformer model with strong multilingual capabilities. Its architecture and training create unique brand selection patterns.

1. Native multilingual processing. Qwen doesn't translate between languages - it processes each language natively. This means brand associations in Chinese are different from those in English.

2. Alibaba ecosystem awareness. As Alibaba's model, Qwen has awareness of the Alibaba ecosystem. Brands that work with Alibaba Cloud, use Alibaba services, or are part of the Alibaba ecosystem get mentioned more favorably.

3. Asian market emphasis. Qwen's training data includes significant Asian-language content. Brands with presence in China, Japan, Korea, and Southeast Asia get better representation.

4. Dense architecture consistency. The dense transformer architecture provides consistent brand recommendations across similar queries, with less variation than MoE models.

The GEO research paper found that multilingual capabilities create unique optimization opportunities:

1. Language-specific brand associations. Brands have different associations in different languages. Qwen captures these nuances better than models that translate.

2. Regional review platforms. Asian review platforms and industry publications carry more weight with Qwen. Japanese IT review sites, Korean tech publications, and Chinese industry forums all matter.

3. Cross-language content. Brands with content in multiple languages get more consistent representation across Qwen's language-specific responses.

4. Cultural context awareness. Qwen understands cultural context better than Western models. Brand messaging that resonates in one culture may not translate well to another.

1. Build Asian market presence. If you want visibility on Qwen, you need presence in Asian markets. This means local offices, local customer testimonials, and local case studies.

2. Create multilingual content. Don't just translate - localize. Create content in Chinese, Japanese, Korean, and other relevant Asian languages. Each language should have native-quality content.

3. Target Asian review platforms. Japanese IT review sites, Korean tech publications, and Chinese industry forums carry more weight with Qwen. Build relationships with these platforms.

4. Leverage Alibaba ecosystem. If you work with Alibaba Cloud or other Alibaba services, highlight this relationship. Qwen's training data includes Alibaba ecosystem content.

5. Understand cultural context. Brand messaging that works in the West may not work in Asia. Adapt your positioning for different cultural contexts.

1. Check your Qwen-specific visibility (LLMRanked includes Qwen 2.5 72B)
2. Assess your Asian market presence
3. Create or update multilingual content strategy
4. Build relationships with Asian industry publications
5. Adapt brand messaging for different cultural contexts