# Alibaba Expands AI Portfolio With Qwen and HappyHorse Models

**Published:** 2026-05-19T07:00:00.000Z  
**Topic:** Qwen  
**Sentiment:** neutral  
**Publisher:** TrendWatcher — https://www.trendwatcher.in/article/3df0a210-8a8f-4573-b576-7c093c63f452

Alibaba is gaining global recognition in AI as its Qwen 3.7 Max model excels in coding benchmarks and its HappyHorse tool leads text-to-video rankings.

Alibaba has solidified its presence in the global artificial intelligence market with the release of its Qwen 3.7 Max model and the debut of a top-ranked video-generation tool. The Qwen 3.7 Max model has gained recognition for its performance in coding and agentic workflows, while the company’s new text-to-video model, HappyHorse 1.0, recently secured the top position on the Artificial Analysis leaderboard [1, 2].

**Key takeaways**

*   Qwen 3.7 Max outperforms competitors like DeepSeek and Opus 4.6 Max in technical evaluations such as Terminal Bench 2.0 and MCP Atlas [1].
*   Alibaba’s HappyHorse 1.0 model reached the number one spot on the Artificial Analysis text-to-video leaderboard shortly after its release [2].
*   Qwen 3.7 Max offers significant cost advantages, with input costs at half and output costs at one-quarter of the rates charged by GPT 5.5 [1].
*   The Qwen 3.7 Max model features a tenfold speed improvement in GPU kernel optimization, though it faces challenges with token verbosity during long tasks [1].

## Technical Performance and Market Positioning
The Qwen 3.7 Max model has distinguished itself through high precision in complex, long-horizon tasks and agentic workflows [1]. In coding-specific benchmarks, the model has surpassed both Opus 4.6 and 4.7, though it remains behind OpenAI’s GPT 5.5 in general intelligence and writing quality [1]. Beyond its technical output, the model is designed for integration, supporting the Anthropic API protocol to assist developers in incorporating it into existing projects [1].

While the model is highly efficient in GPU kernel optimization, users have noted that its tendency toward verbosity in token generation can increase costs during extended operations [1]. This necessitates careful resource management for developers utilizing the model for large-scale, automation-heavy projects [1].

## The Rise of HappyHorse and Competitive Pricing
Alibaba’s entry into the video-generation space has been marked by the success of HappyHorse 1.0. Although the model topped the Artificial Analysis leaderboard immediately following its debut, its connection to Alibaba was not publicly disclosed by the company until several days after its release [2]. The model is currently undergoing internal beta testing, with plans for a future API launch [2].

These developments occur alongside an aggressive pricing strategy from Chinese AI labs. By offering API pricing significantly lower than Western counterparts, firms like Alibaba are intensifying competition within the industry [1]. This shift in cost structure, combined with the emergence of high-ranking models from Chinese developers, is forcing established global players to re-evaluate their market positions [1, 2].

## Why it matters
The rapid advancement of Alibaba’s AI models reflects a broader trend of increasing competitiveness from Chinese technology firms in the global AI landscape. As these labs continue to lower costs and improve performance in specialized areas like coding and video generation, the dominance of traditional Western AI leaders faces new pressure. The industry is now watching how these companies will adjust their strategies to maintain market share as high-performance, cost-effective alternatives become more accessible to developers worldwide [1, 2].

## Sources
1. Geeky Gadgets — [Why Alibaba’s Qwen 3.7 Max is Quietly Outperforming Opus 4.7 in Coding](https://www.geeky-gadgets.com/alibaba-qwen-vs-claude-opus/)
2. Morningstar — [Alibaba's New AI Video-Generation Model Tops Global Ranking After Debut](https://www.morningstar.com/news/dow-jones/20260410854/alibabas-new-ai-video-generation-model-tops-global-ranking-after-debut)

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Cite as: TrendWatcher, "Alibaba Expands AI Portfolio With Qwen and HappyHorse Models", https://www.trendwatcher.in/article/3df0a210-8a8f-4573-b576-7c093c63f452