[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"compare-glm-52-vs-gpt-53-codex":3},{"modelA":4,"modelB":9,"categories":14,"faq":52,"winsA":62,"winsB":63,"relatedArticles":64,"otherComparisons":72},{"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-5.3-Codex","OpenAI","$1.75\u002F$14","Coding-oriented OpenAI model referenced in June 2026 pricing coverage with strong developer-task performance.",[15,19,23,29,34,38,41,44,47],{"key":16,"label":17,"valueA":6,"valueB":11,"winner":18},"provider","Provider","tie",{"key":20,"label":21,"valueA":22,"valueB":22,"winner":18},"context","Context Window","128K",{"key":24,"label":25,"valueA":26,"valueB":27,"winner":28},"pricingInput","Input Price ($\u002F1M)","$3","$1.75","b",{"key":30,"label":31,"valueA":32,"valueB":33,"winner":28},"pricingOutput","Output Price ($\u002F1M)","$80","$14",{"key":35,"label":36,"valueA":37,"valueB":37,"winner":18},"arena","Arena ELO","N\u002FA",{"key":39,"label":40,"valueA":37,"valueB":37,"winner":18},"coding","Coding",{"key":42,"label":43,"valueA":37,"valueB":37,"winner":18},"reasoning","Reasoning",{"key":45,"label":46,"valueA":37,"valueB":37,"winner":18},"speed","Speed (tokens\u002Fsec)",{"key":48,"label":49,"valueA":50,"valueB":51,"winner":18},"openSource","Open Source","Yes","No",[53,56,59],{"question":54,"answer":55},"Which is cheaper, GLM-5.2 or GPT-5.3-Codex?","GPT-5.3-Codex is approximately 81% cheaper than GLM-5.2 per million tokens.",{"question":57,"answer":58},"Which has a larger context window?","GLM-5.2 supports 128K context, while GPT-5.3-Codex supports 128K.",{"question":60,"answer":61},"Is GLM-5.2 or GPT-5.3-Codex open source?","GLM-5.2 is open source. GPT-5.3-Codex is proprietary.",0,2,[65,69],{"slug":66,"title":67,"language":68},"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":70,"title":71,"language":68},"glm-52-open-frontier-ai-for-developers-en","GLM-5.2把前沿模型变成可用工具",[73,78,83,88,93,98,103,108],{"slugA":74,"labelA":75,"slugB":76,"labelB":77},"claude-opus-45-vs-glm-52","GLM-5.2 vs Claude Opus 4.5","claude-opus-45-vs-gpt-53-codex","GPT-5.3-Codex vs Claude Opus 4.5",{"slugA":79,"labelA":80,"slugB":81,"labelB":82},"glm-52-vs-llama-4-scout","GLM-5.2 vs Llama 4 Scout","gpt-53-codex-vs-llama-4-scout","GPT-5.3-Codex vs Llama 4 Scout",{"slugA":84,"labelA":85,"slugB":86,"labelB":87},"claude-sonnet-46-vs-glm-52","GLM-5.2 vs Claude Sonnet 4.6","claude-sonnet-46-vs-gpt-53-codex","GPT-5.3-Codex vs Claude Sonnet 4.6",{"slugA":89,"labelA":90,"slugB":91,"labelB":92},"claude-haiku-45-vs-glm-52","GLM-5.2 vs Claude Haiku 4.5","claude-haiku-45-vs-gpt-53-codex","GPT-5.3-Codex vs Claude Haiku 4.5",{"slugA":94,"labelA":95,"slugB":96,"labelB":97},"glm-52-vs-qwen-36","GLM-5.2 vs Qwen 3.6","gpt-53-codex-vs-qwen-36","GPT-5.3-Codex vs Qwen 3.6",{"slugA":99,"labelA":100,"slugB":101,"labelB":102},"glm-52-vs-gpt-4o","GLM-5.2 vs GPT-4o","gpt-4o-vs-gpt-53-codex","GPT-5.3-Codex vs GPT-4o",{"slugA":104,"labelA":105,"slugB":106,"labelB":107},"deepseek-r1-vs-glm-52","GLM-5.2 vs DeepSeek R1","deepseek-r1-vs-gpt-53-codex","GPT-5.3-Codex vs DeepSeek R1",{"slugA":109,"labelA":110,"slugB":111,"labelB":112},"claude-opus-46-vs-glm-52","GLM-5.2 vs Claude Opus 4.6","claude-opus-46-vs-gpt-53-codex","GPT-5.3-Codex vs Claude Opus 4.6"]