[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"compare-deepseek-v4-pro-vs-glm-52":3},{"modelA":4,"modelB":9,"categories":14,"faq":50,"winsA":57,"winsB":58,"relatedArticles":59,"otherComparisons":79},{"name":5,"provider":6,"pricing":7,"highlights":8},"DeepSeek V4-Pro","DeepSeek",null,"DeepSeek V4-Pro offers a significant price reduction, making it one of the most cost-effective options in the market.",{"name":10,"provider":11,"pricing":12,"highlights":13},"GLM-5.2","Z.ai","$3\u002F$80","Open-weights coding-focused model released in June 2026, positioned for long-horizon autonomous engineering tasks.",[15,19,23,29,33,36,39,42,45],{"key":16,"label":17,"valueA":6,"valueB":11,"winner":18},"provider","Provider","tie",{"key":20,"label":21,"valueA":22,"valueB":22,"winner":18},"context","Context Window","128K",{"key":24,"label":25,"valueA":26,"valueB":27,"winner":28},"pricingInput","Input Price ($\u002F1M)","N\u002FA","$3","b",{"key":30,"label":31,"valueA":26,"valueB":32,"winner":28},"pricingOutput","Output Price ($\u002F1M)","$80",{"key":34,"label":35,"valueA":26,"valueB":26,"winner":18},"arena","Arena ELO",{"key":37,"label":38,"valueA":26,"valueB":26,"winner":18},"coding","Coding",{"key":40,"label":41,"valueA":26,"valueB":26,"winner":18},"reasoning","Reasoning",{"key":43,"label":44,"valueA":26,"valueB":26,"winner":18},"speed","Speed (tokens\u002Fsec)",{"key":46,"label":47,"valueA":48,"valueB":49,"winner":18},"openSource","Open Source","No","Yes",[51,54],{"question":52,"answer":53},"Which has a larger context window?","DeepSeek V4-Pro supports 128K context, while GLM-5.2 supports 128K.",{"question":55,"answer":56},"Is DeepSeek V4-Pro or GLM-5.2 open source?","DeepSeek V4-Pro is proprietary. GLM-5.2 is open source.",0,2,[60,64,67,70,73,76],{"slug":61,"title":62,"language":63},"glm-5-2-open-source-1m-context-long-tasks-en","GLM-5.2开源：1M上下文冲刺长程任务","en",{"slug":65,"title":66,"language":63},"glm-52-open-frontier-ai-for-developers-en","GLM-5.2把前沿模型变成可用工具",{"slug":68,"title":69,"language":63},"5-steps-connect-codex-with-deepseek-en","5 steps to connect Codex with DeepSeek",{"slug":71,"title":72,"language":63},"why-claude-code-should-use-deepseek-v4-for-1m-context-en","Why Claude Code Should Use DeepSeek v4 for 1M Context",{"slug":74,"title":75,"language":63},"why-deepseek-v4-plus-claude-code-is-the-wrong-way-to-judge-c-en","Why DeepSeek V4 plus Claude Code is the wrong way to judge coding mod…",{"slug":77,"title":78,"language":63},"will-nvidia-stock-recover-after-deepseek-en","Will NVIDIA Stock Recover After DeepSeek?",[80,85,90,95,100,105,110,115],{"slugA":81,"labelA":82,"slugB":83,"labelB":84},"claude-opus-45-vs-deepseek-v4-pro","DeepSeek V4-Pro vs Claude Opus 4.5","claude-opus-45-vs-glm-52","GLM-5.2 vs Claude Opus 4.5",{"slugA":86,"labelA":87,"slugB":88,"labelB":89},"deepseek-v4-pro-vs-llama-4-scout","DeepSeek V4-Pro vs Llama 4 Scout","glm-52-vs-llama-4-scout","GLM-5.2 vs Llama 4 Scout",{"slugA":91,"labelA":92,"slugB":93,"labelB":94},"claude-sonnet-46-vs-deepseek-v4-pro","DeepSeek V4-Pro vs Claude Sonnet 4.6","claude-sonnet-46-vs-glm-52","GLM-5.2 vs Claude Sonnet 4.6",{"slugA":96,"labelA":97,"slugB":98,"labelB":99},"claude-haiku-45-vs-deepseek-v4-pro","DeepSeek V4-Pro vs Claude Haiku 4.5","claude-haiku-45-vs-glm-52","GLM-5.2 vs Claude Haiku 4.5",{"slugA":101,"labelA":102,"slugB":103,"labelB":104},"deepseek-v4-pro-vs-qwen-36","DeepSeek V4-Pro vs Qwen 3.6","glm-52-vs-qwen-36","GLM-5.2 vs Qwen 3.6",{"slugA":106,"labelA":107,"slugB":108,"labelB":109},"deepseek-v4-pro-vs-gpt-4o","DeepSeek V4-Pro vs GPT-4o","glm-52-vs-gpt-4o","GLM-5.2 vs GPT-4o",{"slugA":111,"labelA":112,"slugB":113,"labelB":114},"deepseek-r1-vs-deepseek-v4-pro","DeepSeek V4-Pro vs DeepSeek R1","deepseek-r1-vs-glm-52","GLM-5.2 vs DeepSeek R1",{"slugA":116,"labelA":117,"slugB":118,"labelB":119},"claude-opus-46-vs-deepseek-v4-pro","DeepSeek V4-Pro vs Claude Opus 4.6","claude-opus-46-vs-glm-52","GLM-5.2 vs Claude Opus 4.6"]