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Alibaba releases Qwen3.8-Max to compete with western AI

Valentin Podkamennyi 2026年08月03日 23:56 0 次阅读 来源:Dev.to

Alibaba officially launched Qwen3.8-Max on Monday, marking the debut of its most substantial artificial intelligence model. This new open-weight release aims at enterprise sectors, specifically targeting software engineering and complex reasoning. It represents a significant expansion of the company’s existing portfolio of digital tools for large-scale business operations. Technical architecture and performance benchmarks The Qwen3.8-Max model utilizes a mixture-of-experts (MoE) design, featuring a total of 2.4 trillion parameters. However, the system only activates approximately 95 billion of those parameters during any single inference cycle. This approach balances high-level processing power with the need for operational speed. Alibaba plans to make the open-weight versions of this technology available to the public through its cloud-based studio platform starting next week. Company representatives stated that this new architecture ranks among the most capable systems currently in existence. They position it as a direct competitor to the most advanced frontier models available globally. Internal data suggests the performance levels are trailing only the very top tier of experimental AI systems. This move signals a clear intent to capture market share from established western technology firms. Competitive testing and industry analysis To prove its capabilities, Alibaba released internal data comparing Qwen3.8-Max against top models from Anthropic and OpenAI. The tests focused heavily on coding benchmarks such as SWE-bench Pro. According to the company, their new model held its own against Claude Opus 4.8 and GPT-5.6 Sol. They utilized the specific coding frameworks recommended by each competitor to ensure a fair and rigorous comparison during the evaluation process. Industry analysts have noted that the gap between proprietary and open-weight models is closing rapidly. While proprietary leaders still hold certain advantages, the rise of open-weight alternatives pr

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