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Qwen3.5-Plus Goes Open-Source on Chinese New Year’s Eve, Ranks World’s Strongest Open-Source Model
On February 16, 2026 — Chinese New Year's Eve — Alibaba unveiled Qwen3.5-Plus, a next-generation large model that rivals Gemini 3 Pro and tops the global ranking of open-source models. It features a revolutionary underlying architecture: 397 billion total parameters with just 17 billion activated, surpassing the trillion-parameter Qwen3-Max. Deployment memory is cut by 60%, and throughput in 256K long-context scenarios increases 19-fold.
It offers exceptional cost efficiency: API costs are only 0.8 yuan per million tokens — 1/18 that of Gemini 3 Pro. Unlike previous purely text-based generations, this model achieves a native multimodal leap, pre-trained on mixed visual and text tokens, delivering top performance with less than 40% of the parameters.
It excels across multiple benchmarks, scoring 87.8 on MMLU-Pro (surpassing GPT-5.2), 88.4 on GPQA (beating Claude 4.5), and setting records on IFBench. It comprehensively outperforms models like Gemini 3 Pro and has been rolled out across all Qwen platforms for developers to use.
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On February 16, 2026 — Chinese New Year's Eve — Alibaba unveiled Qwen3.5-Plus, a next-generation large model that rivals Gemini 3 Pro and tops the global ranking of open-source models. It features a revolutionary underlying architecture: 397 billion total parameters with just 17 billion activated, surpassing the trillion-parameter Qwen3-Max. Deployment memory is cut by 60%, and throughput in 256K long-context scenarios increases 19-fold.
It offers exceptional cost efficiency: API costs are only 0.8 yuan per million tokens — 1/18 that of Gemini 3 Pro. Unlike previous purely text-based generations, this model achieves a native multimodal leap, pre-trained on mixed visual and text tokens, delivering top performance with less than 40% of the parameters.
It excels across multiple benchmarks, scoring 87.8 on MMLU-Pro (surpassing GPT-5.2), 88.4 on GPQA (beating Claude 4.5), and setting records on IFBench. It comprehensively outperforms models like Gemini 3 Pro and has been rolled out across all Qwen platforms for developers to use.
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