[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"compare-glm-52-vs-gpt-41-nano":3},{"modelA":4,"modelB":9,"categories":14,"faq":52,"winsA":62,"winsB":63,"relatedArticles":64,"otherComparisons":75},{"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-4.1 Nano","OpenAI","$0.10\u002F$0.40","Ultra-low-cost OpenAI model highlighted in 2026 pricing comparisons for lightweight agent and utility workloads.",[15,19,23,29,34,38,41,44,47],{"key":16,"label":17,"valueA":6,"valueB":11,"winner":18},"provider","Provider","tie",{"key":20,"label":21,"valueA":22,"valueB":22,"winner":18},"context","Context Window","128K",{"key":24,"label":25,"valueA":26,"valueB":27,"winner":28},"pricingInput","Input Price ($\u002F1M)","$3","$0.1","b",{"key":30,"label":31,"valueA":32,"valueB":33,"winner":28},"pricingOutput","Output Price ($\u002F1M)","$80","$0.4",{"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-4.1 Nano?","GPT-4.1 Nano is approximately 99% 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-4.1 Nano supports 128K.",{"question":60,"answer":61},"Is GLM-5.2 or GPT-4.1 Nano open source?","GLM-5.2 is open source. GPT-4.1 Nano is proprietary.",0,2,[65,69,72],{"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",{"slug":73,"title":74,"language":68},"copilot-studio-gpt-41-default-gpt-4o-retirement-en","Copilot Studio shifts to GPT-4.1 by default",[76,81,86,91,96,101,106,111],{"slugA":77,"labelA":78,"slugB":79,"labelB":80},"claude-opus-45-vs-glm-52","GLM-5.2 vs Claude Opus 4.5","claude-opus-45-vs-gpt-41-nano","GPT-4.1 Nano vs Claude Opus 4.5",{"slugA":82,"labelA":83,"slugB":84,"labelB":85},"glm-52-vs-llama-4-scout","GLM-5.2 vs Llama 4 Scout","gpt-41-nano-vs-llama-4-scout","GPT-4.1 Nano vs Llama 4 Scout",{"slugA":87,"labelA":88,"slugB":89,"labelB":90},"claude-sonnet-46-vs-glm-52","GLM-5.2 vs Claude Sonnet 4.6","claude-sonnet-46-vs-gpt-41-nano","GPT-4.1 Nano vs Claude Sonnet 4.6",{"slugA":92,"labelA":93,"slugB":94,"labelB":95},"claude-haiku-45-vs-glm-52","GLM-5.2 vs Claude Haiku 4.5","claude-haiku-45-vs-gpt-41-nano","GPT-4.1 Nano vs Claude Haiku 4.5",{"slugA":97,"labelA":98,"slugB":99,"labelB":100},"glm-52-vs-qwen-36","GLM-5.2 vs Qwen 3.6","gpt-41-nano-vs-qwen-36","GPT-4.1 Nano vs Qwen 3.6",{"slugA":102,"labelA":103,"slugB":104,"labelB":105},"glm-52-vs-gpt-4o","GLM-5.2 vs GPT-4o","gpt-41-nano-vs-gpt-4o","GPT-4.1 Nano vs GPT-4o",{"slugA":107,"labelA":108,"slugB":109,"labelB":110},"deepseek-r1-vs-glm-52","GLM-5.2 vs DeepSeek R1","deepseek-r1-vs-gpt-41-nano","GPT-4.1 Nano vs DeepSeek R1",{"slugA":112,"labelA":113,"slugB":114,"labelB":115},"claude-opus-46-vs-glm-52","GLM-5.2 vs Claude Opus 4.6","claude-opus-46-vs-gpt-41-nano","GPT-4.1 Nano vs Claude Opus 4.6"]