[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"compare-glm-52-vs-gpt-4o":3},{"modelA":4,"modelB":9,"categories":14,"faq":56,"winsA":69,"winsB":70,"relatedArticles":71,"otherComparisons":79},{"name":5,"provider":6,"pricing":7,"highlights":8},"GLM-5.2","Z.ai","$3\u002F$80","Open-weights coding-focused model released in June 2026, positioned for long-horizon autonomous engineering tasks.",{"name":10,"provider":11,"pricing":12,"highlights":13},"GPT-4o","OpenAI","$2.5\u002F$10","Legacy but still available; superseded by GPT-5 family",[15,19,23,29,34,39,43,47,51],{"key":16,"label":17,"valueA":6,"valueB":11,"winner":18},"provider","Provider","tie",{"key":20,"label":21,"valueA":22,"valueB":22,"winner":18},"context","Context Window","128K",{"key":24,"label":25,"valueA":26,"valueB":27,"winner":28},"pricingInput","Input Price ($\u002F1M)","$3","$2.5","b",{"key":30,"label":31,"valueA":32,"valueB":33,"winner":28},"pricingOutput","Output Price ($\u002F1M)","$80","$10",{"key":35,"label":36,"valueA":37,"valueB":38,"winner":28},"arena","Arena ELO","N\u002FA","1285",{"key":40,"label":41,"valueA":37,"valueB":42,"winner":18},"coding","Coding","30.8% SWE-bench",{"key":44,"label":45,"valueA":37,"valueB":46,"winner":18},"reasoning","Reasoning","unknown",{"key":48,"label":49,"valueA":37,"valueB":50,"winner":28},"speed","Speed (tokens\u002Fsec)","~100 t\u002Fs",{"key":52,"label":53,"valueA":54,"valueB":55,"winner":18},"openSource","Open Source","Yes","No",[57,60,63,66],{"question":58,"answer":59},"Which is cheaper, GLM-5.2 or GPT-4o?","GPT-4o is approximately 85% cheaper than GLM-5.2 per million tokens.",{"question":61,"answer":62},"Which is better for coding, GLM-5.2 or GPT-4o?","GLM-5.2 scores N\u002FA on coding benchmarks, while GPT-4o scores 30.8% SWE-bench.",{"question":64,"answer":65},"Which has a larger context window?","GLM-5.2 supports 128K context, while GPT-4o supports 128K.",{"question":67,"answer":68},"Is GLM-5.2 or GPT-4o open source?","GLM-5.2 is open source. GPT-4o is proprietary.",0,4,[72,76],{"slug":73,"title":74,"language":75},"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":77,"title":78,"language":75},"glm-52-open-frontier-ai-for-developers-en","GLM-5.2把前沿模型变成可用工具",[80,85,90,95,100,105,110,115],{"slugA":81,"labelA":82,"slugB":83,"labelB":84},"claude-opus-45-vs-glm-52","GLM-5.2 vs Claude Opus 4.5","claude-opus-45-vs-gpt-4o","GPT-4o vs Claude Opus 4.5",{"slugA":86,"labelA":87,"slugB":88,"labelB":89},"glm-52-vs-llama-4-scout","GLM-5.2 vs Llama 4 Scout","gpt-4o-vs-llama-4-scout","GPT-4o vs Llama 4 Scout",{"slugA":91,"labelA":92,"slugB":93,"labelB":94},"claude-sonnet-46-vs-glm-52","GLM-5.2 vs Claude Sonnet 4.6","claude-sonnet-46-vs-gpt-4o","GPT-4o vs Claude Sonnet 4.6",{"slugA":96,"labelA":97,"slugB":98,"labelB":99},"claude-haiku-45-vs-glm-52","GLM-5.2 vs Claude Haiku 4.5","claude-haiku-45-vs-gpt-4o","GPT-4o vs Claude Haiku 4.5",{"slugA":101,"labelA":102,"slugB":103,"labelB":104},"glm-52-vs-qwen-36","GLM-5.2 vs Qwen 3.6","gpt-4o-vs-qwen-36","GPT-4o vs Qwen 3.6",{"slugA":106,"labelA":107,"slugB":108,"labelB":109},"deepseek-r1-vs-glm-52","GLM-5.2 vs DeepSeek R1","deepseek-r1-vs-gpt-4o","GPT-4o vs DeepSeek R1",{"slugA":111,"labelA":112,"slugB":113,"labelB":114},"claude-opus-46-vs-glm-52","GLM-5.2 vs Claude Opus 4.6","claude-opus-46-vs-gpt-4o","GPT-4o vs Claude Opus 4.6",{"slugA":116,"labelA":117,"slugB":118,"labelB":119},"deepseek-v32-vs-glm-52","GLM-5.2 vs DeepSeek V3.2","deepseek-v32-vs-gpt-4o","GPT-4o vs DeepSeek V3.2"]