The research paper InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency introduces InternVL3.5, one of the most advanced open-source multimodal AI systems, capable of understanding and reasoning across text, images, and video with performance approaching top proprietary models like GPT-5. For business leaders, this research demonstrates that high-performance, cost-efficient AI can now be developed and deployed without relying on closed commercial ecosystems. The model’s innovations, such as faster reasoning, lower GPU costs, and improved real-world inference, make it practical for enterprise applications including automation, analytics, and AI-driven decision support. Ultimately, InternVL3.5 shows that open-source AI is no longer just an alternative; it is a viable foundation for strategic, sovereign, and economically scalable AI adoption across industries.

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Key point: InternVL3.5 establishes a new benchmark for open-source multimodal AI by combining advanced reasoning, efficiency, and scalability, proving that community-driven models can now rival commercial systems like GPT-5 in both performance and practicality.