AI Summary5 Aug 202622 Safar 1448 AH
AI Summary
5 Aug 202622 Safar 1448 AH
Alibaba, DeepSeek push China’s AI model race towards lower costs
Alibaba has launched Qwen3.8-Max, its largest AI model to date, featuring 2.4 trillion parameters. The model employs a mixture-of-experts architecture, activating only part of the model for each request, which reduces costs and response delays.
In contrast, DeepSeek's V4-Flash model offers lower inference pricing at $0.14 per million input tokens and $0.28 per million output tokens. Qwen3.8-Max costs $2 per million input tokens and $6 per million output tokens, highlighting intense competition between the companies.
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This summary is generated with AI and receives periodic editorial review. Refer to the original source for full details.
Alibaba, DeepSeek push China’s AI model race towards lower costs
Alibaba has launched Qwen3.8-Max, its largest AI model to date, featuring 2.4 trillion parameters. The model employs a mixture-of-experts architecture, activating only part of the model for each request, which reduces costs and response delays.
In contrast, DeepSeek's V4-Flash model offers lower inference pricing at $0.14 per million input tokens and $0.28 per million output tokens. Qwen3.8-Max costs $2 per million input tokens and $6 per million output tokens, highlighting intense competition between the companies.
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This summary is generated with AI and receives periodic editorial review. Refer to the original source for full details.
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