# Alibaba unveils Qwen3.8-Max, 2.4 trillion-parameter model with 1M token context

> Alibaba has released Qwen3.8-Max, the biggest model in its Qwen line at 2.4 trillion parameters with a one-million-token context window that can hold thousands of pages at once. On the benchmarks Alibaba highlights, it scores 90.5 on Arena-Hard, a measure of human preference, while a companion Qwen3-Max-Coder reaches 74.1 on LiveCodeBench and 95.4 percent on HumanEval, with claimed wins over several Western flagships. The release does not stand alone. Chinese labs are pushing on two fronts at once, scale and price, with DeepSeek's newest model reportedly undercutting Western inference costs dramatically. Together they signal that the frontier is no longer a two-country race decided in California. For developers and businesses outside China the takeaway is optionality. Open and aggressively priced models from Chinese labs put downward pressure on everyone's margins and make it harder for any single provider to command a premium. Benchmarks always deserve skepticism, but the direction of travel is clear enough.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Tech Startups · Published Saturday, August 8, 2026_

## Wortins' read

Alibaba has released Qwen3.8-Max, the biggest model in its Qwen line at 2.4 trillion parameters with a one-million-token context window that can hold thousands of pages at once. On the benchmarks Alibaba highlights, it scores 90.5 on Arena-Hard, a measure of human preference, while a companion Qwen3-Max-Coder reaches 74.1 on LiveCodeBench and 95.4 percent on HumanEval, with claimed wins over several Western flagships. The release does not stand alone. Chinese labs are pushing on two fronts at once, scale and price, with DeepSeek's newest model reportedly undercutting Western inference costs dramatically. Together they signal that the frontier is no longer a two-country race decided in California. For developers and businesses outside China the takeaway is optionality. Open and aggressively priced models from Chinese labs put downward pressure on everyone's margins and make it harder for any single provider to command a premium. Benchmarks always deserve skepticism, but the direction of travel is clear enough.

## Source

[Read the full story at Tech Startups](https://techstartups.com/2026/08/03/alibaba-unveils-2-4-trillion-parameter-qwen3-8-max-as-deepseeks-new-ai-model-undercuts-anthropic-by-100x/)

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