HomeSilicon Flow Launches High-Speed GLM-5, Rivaling Claude 4.5 in Global AI Rankings
In early 2026, domestic large language models reached a significant milestone. Following its official open-source release, Zhipu AI's GLM-5 secured the fourth position globally on the authoritative Artificial Analysis leaderboard, achieving a score comparable to Claude Opus 4.5.
Key Technological Innovations of GLM-5:
Leap in Core Capabilities: The model's parameter count increased from 355 billion to 744 billion, trained on a dataset of 28.5 trillion tokens.
Architecture Optimization: It is the first to integrate the DeepSeek sparse attention mechanism, which substantially lowers deployment costs without compromising long-context understanding.
Programming and Engineering Expertise: GLM-5 achieved an open-source SOTA score of 77.8 on the SWE-bench Verified test, outperforming Gemini 3 Pro and showcasing robust backend refactoring and deep debugging skills.
Silicon Flow AI Cloud has now officially launched the high-speed version of GLM-5, which supports a context window of 198K tokens. Developers can integrate it via API into popular tools like Trae, Cline, and Kimi Code.
Additionally, Silicon Flow recently updated several services, including the high-speed version of Kimi K2.5, free access to PaddleOCR-VL-1.5, and the launch of the Nano Banana Pro model on BizyAir.
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In early 2026, domestic large language models reached a significant milestone. Following its official open-source release, Zhipu AI's GLM-5 secured the fourth position globally on the authoritative Artificial Analysis leaderboard, achieving a score comparable to Claude Opus 4.5.
Key Technological Innovations of GLM-5:
Leap in Core Capabilities: The model's parameter count increased from 355 billion to 744 billion, trained on a dataset of 28.5 trillion tokens.
Architecture Optimization: It is the first to integrate the DeepSeek sparse attention mechanism, which substantially lowers deployment costs without compromising long-context understanding.
Programming and Engineering Expertise: GLM-5 achieved an open-source SOTA score of 77.8 on the SWE-bench Verified test, outperforming Gemini 3 Pro and showcasing robust backend refactoring and deep debugging skills.
Silicon Flow AI Cloud has now officially launched the high-speed version of GLM-5, which supports a context window of 198K tokens. Developers can integrate it via API into popular tools like Trae, Cline, and Kimi Code.
Additionally, Silicon Flow recently updated several services, including the high-speed version of Kimi K2.5, free access to PaddleOCR-VL-1.5, and the launch of the Nano Banana Pro model on BizyAir.
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