Xin Lang Cai Jing·2026-02-16 09:13Core Insights - Alibaba has launched the new generation large model Qwen3.5-Plus, claiming it rivals Gemini 3 Pro and is the strongest open-source model globally [1][4] - The Qwen3.5-Plus model features a total of 397 billion parameters, with only 17 billion activated, outperforming the trillion-parameter Qwen3-Max model while reducing deployment memory usage by 60% and significantly enhancing inference efficiency [1][4] - The API pricing for Qwen3.5-Plus is set at 0.8 yuan per million tokens, which is only 1/18th of the cost of Gemini 3 Pro [1][4] Model Architecture and Performance - Qwen3.5 represents a generational leap from pure text models to native multimodal models, utilizing a mixed token pre-training approach that includes visual and text data [1][4] - The model has been trained with a substantial increase in multilingual, STEM, and reasoning data, allowing it to acquire denser world knowledge and reasoning logic [1][4] - Qwen3.5 achieves top-tier performance with less than 40% of the parameters of the Qwen3-Max model, excelling in inference, programming, and agent intelligence evaluations [1][4] Benchmark Performance - In the MMLU-Pro knowledge reasoning evaluation, Qwen3.5 scored 87.8, surpassing GPT-5.2 [2][5] - The model achieved 88.4 in the PhD-level GPQA assessment, outperforming Claude 4.5 [2][5] - Qwen3.5 set a record with a score of 76.5 in the instruction-following IFBench, and it also exceeded Gemini 3 Pro and GPT-5.2 in various agent evaluations [2][5]