According to a recent LinkedIn post from OpenRouter, the company is now hosting Alibaba’s new Qwen3.5-397B-A17B multimodal model on its platform. The post highlights that the model uses a hybrid architecture with linear attention and sparse Mixture-of-Experts to improve inference efficiency and supports both open-weights and a Qwen3.5 Plus variant with a 1 million-token context window.
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The LinkedIn post suggests that Qwen3.5 delivers state-of-the-art performance in language understanding, logical reasoning, code generation with agent-like capabilities, and image and video understanding, representing a step up from the prior Qwen3 series. For OpenRouter, expanding access to a large, multimodal, high-context model could strengthen its position as an aggregation layer for advanced AI systems, potentially increasing developer adoption, usage volumes, and monetization opportunities within the competitive AI infrastructure and model-routing market.