sophnet/GLM-4.6

GLM-4.6 is Zhipu AI’s flagship language model, a versatile large-scale model that excels in “longer context and stronger coding and reasoning capabilities.” Its core positioning is as a high-performance inference engine designed to support complex agent tasks and high-precision code generation.

• Doubled Context Length: The context window has been expanded from 128K to 200K tokens, enabling effortless handling of ultra-long documents and multi-turn complex tasks.
• Leading Code Generation Capabilities: Outperforms in real-world scenarios such as Claude Code and Kilo Code, delivering more refined front-end page generation.
• Significantly Enhanced Reasoning: Supports tool calls, with logic reasoning and multi-step task processing capabilities far surpassing those of GLM-4.5.
• More Powerful Agents: Integrates more seamlessly into search-based and tool-based agent frameworks, ensuring more reliable task execution.
• Natural Writing Style: Matches human preferences more closely, offering greater immersion in role-playing and creative writing.
• Overall Superior Performance: Outperforms GLM-4.5 in all eight publicly available benchmarks, rivaling Claude Sonnet 4 and DeepSeek-V3.1-Terminus.

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Core Capabilities

📚 200K Ultra-Long Context: Supports ultra-long text understanding and generation, easily handling complex scenarios such as legal and scientific research.

💻 Code Generation Expert: Delivers more precise front-end rendering in real-world applications, significantly outperforming in benchmarks like LCB.

⚡ Enhanced Tool-Aided Reasoning: Natively supports calling external tools during reasoning, enabling a seamless “think-action” loop.

🧰 Agent-Friendly Architecture: Deeply adapted to Agent frameworks, making task decomposition and tool scheduling more efficient.

✍️ Human-like Writing Style: Features natural and fluent tone, providing more authentic role-playing and multi-style content generation.

🏆 Multi-dimensional Performance Leadership: Outperforms previous models across all eight benchmarks, firmly placing it among the top-tier models both domestically and internationally.

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Related Evaluations

“Claude Sonnet 4.5 vs. GLM-4.6: A Battle of Chinese and Foreign Large Language Models in Programming—Has the Winner Been Decided Yet?”