glm-4.6

GLM-4.6 is a flagship language model launched by Zhipu AI, featuring “longer context and stronger coding and reasoning capabilities.” It’s a versatile large model primarily designed as a high-performance inference engine that supportscomplex 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 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 comprehensively surpassing 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:Adopts a style that closely aligns with human preferences, making role-playing and creative writing more immersive.
• Overall Superior Performance:Outperforms GLM-4.5 in all eight public 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:In real-world applications, front-end rendering is more precise, with benchmark scores like LCB significantly ahead.

⚡ Tool-Augmented Reasoning:Natively supports calling external tools during reasoning, enabling a closed-loop “think-do” process.

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

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

🏆 Multi-dimensional Performance Leadership:Outperforms previous generations across eight major 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 Models in Programming—Has the Winner Been Decided Yet?”