GLM-4.7 AI - Advanced Coding & Reasoning Language Model<\/title>\n <style>\n * {\n margin: 0;\n padding: 0;\n box-sizing: border-box;\n }\n\n body {\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;\n line-height: 1.6;\n color: #333;\n background-color: #fff;\n }\n\n .container {\n max-width: 900px;\n margin: 0 auto;\n padding: 40px 20px;\n }\n\n header {\n text-align: center;\n margin-bottom: 50px;\n padding: 40px 20px;\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n border-radius: 15px;\n color: white;\n }\n\n h1 {\n font-size: 2.8em;\n margin-bottom: 15px;\n font-weight: 700;\n }\n\n .tagline {\n font-size: 1.3em;\n opacity: 0.95;\n font-weight: 300;\n }\n\n .quick-overview {\n background: #f8f9fa;\n padding: 30px;\n border-radius: 12px;\n margin-bottom: 40px;\n border-left: 5px solid #667eea;\n }\n\n .quick-overview h2 {\n color: #667eea;\n margin-bottom: 20px;\n font-size: 1.8em;\n }\n\n .overview-grid {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));\n gap: 20px;\n margin-top: 20px;\n }\n\n .overview-item {\n background: white;\n padding: 15px;\n border-radius: 8px;\n box-shadow: 0 2px 5px rgba(0,0,0,0.05);\n }\n\n .overview-item strong {\n color: #667eea;\n display: block;\n margin-bottom: 8px;\n font-size: 0.95em;\n }\n\n .overview-item p {\n color: #555;\n font-size: 0.95em;\n }\n\n .overview-item a {\n color: #667eea;\n text-decoration: none;\n }\n\n .overview-item a:hover {\n text-decoration: underline;\n }\n\n .section {\n margin-bottom: 50px;\n }\n\n .section h2 {\n color: #667eea;\n margin-bottom: 20px;\n font-size: 2em;\n padding-bottom: 10px;\n border-bottom: 3px solid #667eea;\n }\n\n .section p {\n margin-bottom: 15px;\n color: #555;\n font-size: 1.05em;\n line-height: 1.8;\n }\n\n .pros-cons {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));\n gap: 30px;\n margin-top: 30px;\n }\n\n .pros, .cons {\n background: #f8f9fa;\n padding: 25px;\n border-radius: 12px;\n }\n\n .pros h3 {\n color: #28a745;\n margin-bottom: 15px;\n font-size: 1.5em;\n }\n\n .cons h3 {\n color: #dc3545;\n margin-bottom: 15px;\n font-size: 1.5em;\n }\n\n .pros ul, .cons ul {\n list-style: none;\n }\n\n .pros ul li, .cons ul li {\n padding: 10px 0;\n padding-left: 30px;\n position: relative;\n color: #555;\n }\n\n .pros ul li:before {\n content: \"\u2705\";\n position: absolute;\n left: 0;\n }\n\n .cons ul li:before {\n content: \"\u274c\";\n position: absolute;\n left: 0;\n }\n\n .cta-section {\n text-align: center;\n margin-top: 50px;\n padding: 40px;\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n border-radius: 15px;\n }\n\n .cta-buttons {\n display: flex;\n gap: 20px;\n justify-content: center;\n flex-wrap: wrap;\n }\n\n .cta-button {\n display: inline-block;\n padding: 18px 45px;\n background: white;\n color: #667eea;\n text-decoration: none;\n border-radius: 30px;\n font-weight: 700;\n font-size: 1.2em;\n transition: all 0.3s ease;\n box-shadow: 0 5px 15px rgba(0,0,0,0.2);\n }\n\n .cta-button:hover {\n transform: translateY(-3px);\n box-shadow: 0 8px 20px rgba(0,0,0,0.3);\n }\n\n .cta-button.secondary {\n background: transparent;\n color: white;\n border: 2px solid white;\n }\n\n .cta-button.secondary:hover {\n background: rgba(255,255,255,0.1);\n }\n\n @media (max-width: 768px) {\n h1 {\n font-size: 2em;\n }\n\n .tagline {\n font-size: 1.1em;\n }\n\n .pros-cons {\n grid-template-columns: 1fr;\n }\n\n .cta-buttons {\n flex-direction: column;\n align-items: center;\n }\n\n .cta-button {\n width: 100%;\n max-width: 300px;\n }\n }\n <\/style>\n<\/head>\n<body>\n <div class=\"container\">\n <header>\n <h1>GLM-4.7 AI<\/h1>\n <p class=\"tagline\">Advanced Coding & Reasoning Language Model by Z.AI<\/p>\n <\/header>\n\n <div class=\"quick-overview\">\n <h2>Quick Overview<\/h2>\n <div class=\"overview-grid\">\n <div class=\"overview-item\">\n <strong>\ud83c\udf10 Website<\/strong>\n <p><a href=\"https:\/\/docs.z.ai\/guides\/llm\/glm-4.7\" target=\"_blank\">Z.AI<\/a><\/p>\n <\/div>\n <div class=\"overview-item\">\n <strong>\ud83d\udcb0 Pricing<\/strong>\n <p>Free tier \/ API pricing available<\/p>\n <\/div>\n <div class=\"overview-item\">\n <strong>\ud83c\udfaf Best For<\/strong>\n <p>Coding workflows, complex reasoning, mathematical tasks, multi-step execution, agentic applications<\/p>\n <\/div>\n <div class=\"overview-item\">\n <strong>\u2b50 Key Features<\/strong>\n <p>200K context window, 128K output, MoE architecture, enhanced programming, multi-file analysis<\/p>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"section\">\n <h2>What is GLM-4.7 AI?<\/h2>\n <p>\n GLM-4.7 is Z.AI's latest flagship large language model, released in December 2025 as a major upgrade over GLM-4.6. Developed by Zhipu AI, this open-weight model is specifically designed for real-world development environments, with a particular focus on coding workflows and complex reasoning tasks. GLM-4.7 features a massive 200K context window (one of the largest available) and can generate outputs up to 128K tokens, making it ideal for analyzing and working with extensive codebases, multiple files, and long-form content.\n <\/p>\n <p>\n What sets GLM-4.7 apart is its substantial improvements in two critical areas: programming capabilities and multi-step reasoning. The model achieves impressive benchmarks on mathematical reasoning (42.8% on HLE, a +12.4% improvement) and excels at agentic-style execution\u2014meaning it can plan, reason, and execute complex tasks with minimal hand-holding. GLM-4.7's MoE (Mixture of Experts) architecture provides efficient performance, while its enhanced tool integration allows for more stable behavior when interacting with external APIs, databases, and development environments.\n <\/p>\n <p>\n GLM-4.7 is perfect for software developers, data scientists, AI researchers, and businesses building intelligent applications. Use cases include: full-codebase analysis and refactoring, automated code generation and debugging, research automation with multi-document synthesis, content creation for agencies (blogs, articles, reports), and building AI agents that can reason through complex problems. Available through Z.AI's API and on platforms like OpenRouter, GLM-4.7 offers both free-tier access and competitive API pricing. With its Chinese origins and strong performance rivaling GPT-4 and Claude, GLM-4.7 represents a powerful, cost-effective alternative for developers seeking advanced coding assistance and reasoning capabilities.\n <\/p>\n <\/div>\n\n <div class=\"section\">\n <h2>Pros & Cons<\/h2>\n <div class=\"pros-cons\">\n <div class=\"pros\">\n <h3>\u2705 Pros<\/h3>\n <ul>\n <li>200K context window<\/li>\n <li>Enhanced coding capabilities<\/li>\n <li>Multi-step reasoning & execution<\/li>\n <li>128K output capacity<\/li>\n <li>Strong mathematical reasoning<\/li>\n <li>MoE architecture (efficient)<\/li>\n <li>Free tier available<\/li>\n <li>Competitive with GPT-4 & Claude<\/li>\n <\/ul>\n <\/div>\n <div class=\"cons\">\n <h3>\u274c Cons<\/h3>\n <ul>\n <li>Relatively new (Dec 2025)<\/li>\n <li>Smaller community than OpenAI<\/li>\n <li>Documentation still growing<\/li>\n <li>API pricing varies by provider<\/li>\n <li>May require integration setup<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"cta-section\">\n <div class=\"cta-buttons\">\n <a href=\"https:\/\/docs.z.ai\/guides\/llm\/glm-4.7\" target=\"_blank\" class=\"cta-button\">Visit Z.AI Docs \u2192<\/a>\n <a href=\"https:\/\/openrouter.ai\/z-ai\/glm-4.7\" target=\"_blank\" class=\"cta-button secondary\">Try on OpenRouter \u2192<\/a>\n <\/div>\n <\/div>\n <\/div>\n<\/body>\n<\/html>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>GLM-4.7 AI – Advanced Coding & Reasoning Language Model GLM-4.7 AI Advanced Coding & Reasoning Language Model by Z.AI Quick Overview \ud83c\udf10 Website Z.AI \ud83d\udcb0 Pricing Free tier \/ API pricing available \ud83c\udfaf Best For Coding workflows, complex reasoning, mathematical tasks, multi-step execution, agentic applications \u2b50 Key Features 200K context window, 128K output, MoE architecture,…<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[31],"tags":[],"class_list":["post-2130","post","type-post","status-publish","format-standard","hentry","category-code-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/2130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/comments?post=2130"}],"version-history":[{"count":4,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/2130\/revisions"}],"predecessor-version":[{"id":2134,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/2130\/revisions\/2134"}],"wp:attachment":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/media?parent=2130"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/categories?post=2130"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/tags?post=2130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

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\n\t\t\t\t\t\n\n\n \n \n GLM-4.7 AI - Advanced Coding & Reasoning Language Model<\/title>\n <style>\n * {\n margin: 0;\n padding: 0;\n box-sizing: border-box;\n }\n\n body {\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;\n line-height: 1.6;\n color: #333;\n background-color: #fff;\n }\n\n .container {\n max-width: 900px;\n margin: 0 auto;\n padding: 40px 20px;\n }\n\n header {\n text-align: center;\n margin-bottom: 50px;\n padding: 40px 20px;\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n border-radius: 15px;\n color: white;\n }\n\n h1 {\n font-size: 2.8em;\n margin-bottom: 15px;\n font-weight: 700;\n }\n\n .tagline {\n font-size: 1.3em;\n opacity: 0.95;\n font-weight: 300;\n }\n\n .quick-overview {\n background: #f8f9fa;\n padding: 30px;\n border-radius: 12px;\n margin-bottom: 40px;\n border-left: 5px solid #667eea;\n }\n\n .quick-overview h2 {\n color: #667eea;\n margin-bottom: 20px;\n font-size: 1.8em;\n }\n\n .overview-grid {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));\n gap: 20px;\n margin-top: 20px;\n }\n\n .overview-item {\n background: white;\n padding: 15px;\n border-radius: 8px;\n box-shadow: 0 2px 5px rgba(0,0,0,0.05);\n }\n\n .overview-item strong {\n color: #667eea;\n display: block;\n margin-bottom: 8px;\n font-size: 0.95em;\n }\n\n .overview-item p {\n color: #555;\n font-size: 0.95em;\n }\n\n .overview-item a {\n color: #667eea;\n text-decoration: none;\n }\n\n .overview-item a:hover {\n text-decoration: underline;\n }\n\n .section {\n margin-bottom: 50px;\n }\n\n .section h2 {\n color: #667eea;\n margin-bottom: 20px;\n font-size: 2em;\n padding-bottom: 10px;\n border-bottom: 3px solid #667eea;\n }\n\n .section p {\n margin-bottom: 15px;\n color: #555;\n font-size: 1.05em;\n line-height: 1.8;\n }\n\n .pros-cons {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));\n gap: 30px;\n margin-top: 30px;\n }\n\n .pros, .cons {\n background: #f8f9fa;\n padding: 25px;\n border-radius: 12px;\n }\n\n .pros h3 {\n color: #28a745;\n margin-bottom: 15px;\n font-size: 1.5em;\n }\n\n .cons h3 {\n color: #dc3545;\n margin-bottom: 15px;\n font-size: 1.5em;\n }\n\n .pros ul, .cons ul {\n list-style: none;\n }\n\n .pros ul li, .cons ul li {\n padding: 10px 0;\n padding-left: 30px;\n position: relative;\n color: #555;\n }\n\n .pros ul li:before {\n content: \"\u2705\";\n position: absolute;\n left: 0;\n }\n\n .cons ul li:before {\n content: \"\u274c\";\n position: absolute;\n left: 0;\n }\n\n .cta-section {\n text-align: center;\n margin-top: 50px;\n padding: 40px;\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n border-radius: 15px;\n }\n\n .cta-buttons {\n display: flex;\n gap: 20px;\n justify-content: center;\n flex-wrap: wrap;\n }\n\n .cta-button {\n display: inline-block;\n padding: 18px 45px;\n background: white;\n color: #667eea;\n text-decoration: none;\n border-radius: 30px;\n font-weight: 700;\n font-size: 1.2em;\n transition: all 0.3s ease;\n box-shadow: 0 5px 15px rgba(0,0,0,0.2);\n }\n\n .cta-button:hover {\n transform: translateY(-3px);\n box-shadow: 0 8px 20px rgba(0,0,0,0.3);\n }\n\n .cta-button.secondary {\n background: transparent;\n color: white;\n border: 2px solid white;\n }\n\n .cta-button.secondary:hover {\n background: rgba(255,255,255,0.1);\n }\n\n @media (max-width: 768px) {\n h1 {\n font-size: 2em;\n }\n\n .tagline {\n font-size: 1.1em;\n }\n\n .pros-cons {\n grid-template-columns: 1fr;\n }\n\n .cta-buttons {\n flex-direction: column;\n align-items: center;\n }\n\n .cta-button {\n width: 100%;\n max-width: 300px;\n }\n }\n <\/style>\n<\/head>\n<body>\n <div class=\"container\">\n <header>\n <h1>GLM-4.7 AI<\/h1>\n <p class=\"tagline\">Advanced Coding & Reasoning Language Model by Z.AI<\/p>\n <\/header>\n\n <div class=\"quick-overview\">\n <h2>Quick Overview<\/h2>\n <div class=\"overview-grid\">\n <div class=\"overview-item\">\n <strong>\ud83c\udf10 Website<\/strong>\n <p><a href=\"https:\/\/docs.z.ai\/guides\/llm\/glm-4.7\" target=\"_blank\">Z.AI<\/a><\/p>\n <\/div>\n <div class=\"overview-item\">\n <strong>\ud83d\udcb0 Pricing<\/strong>\n <p>Free tier \/ API pricing available<\/p>\n <\/div>\n <div class=\"overview-item\">\n <strong>\ud83c\udfaf Best For<\/strong>\n <p>Coding workflows, complex reasoning, mathematical tasks, multi-step execution, agentic applications<\/p>\n <\/div>\n <div class=\"overview-item\">\n <strong>\u2b50 Key Features<\/strong>\n <p>200K context window, 128K output, MoE architecture, enhanced programming, multi-file analysis<\/p>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"section\">\n <h2>What is GLM-4.7 AI?<\/h2>\n <p>\n GLM-4.7 is Z.AI's latest flagship large language model, released in December 2025 as a major upgrade over GLM-4.6. Developed by Zhipu AI, this open-weight model is specifically designed for real-world development environments, with a particular focus on coding workflows and complex reasoning tasks. GLM-4.7 features a massive 200K context window (one of the largest available) and can generate outputs up to 128K tokens, making it ideal for analyzing and working with extensive codebases, multiple files, and long-form content.\n <\/p>\n <p>\n What sets GLM-4.7 apart is its substantial improvements in two critical areas: programming capabilities and multi-step reasoning. The model achieves impressive benchmarks on mathematical reasoning (42.8% on HLE, a +12.4% improvement) and excels at agentic-style execution\u2014meaning it can plan, reason, and execute complex tasks with minimal hand-holding. GLM-4.7's MoE (Mixture of Experts) architecture provides efficient performance, while its enhanced tool integration allows for more stable behavior when interacting with external APIs, databases, and development environments.\n <\/p>\n <p>\n GLM-4.7 is perfect for software developers, data scientists, AI researchers, and businesses building intelligent applications. Use cases include: full-codebase analysis and refactoring, automated code generation and debugging, research automation with multi-document synthesis, content creation for agencies (blogs, articles, reports), and building AI agents that can reason through complex problems. Available through Z.AI's API and on platforms like OpenRouter, GLM-4.7 offers both free-tier access and competitive API pricing. With its Chinese origins and strong performance rivaling GPT-4 and Claude, GLM-4.7 represents a powerful, cost-effective alternative for developers seeking advanced coding assistance and reasoning capabilities.\n <\/p>\n <\/div>\n\n <div class=\"section\">\n <h2>Pros & Cons<\/h2>\n <div class=\"pros-cons\">\n <div class=\"pros\">\n <h3>\u2705 Pros<\/h3>\n <ul>\n <li>200K context window<\/li>\n <li>Enhanced coding capabilities<\/li>\n <li>Multi-step reasoning & execution<\/li>\n <li>128K output capacity<\/li>\n <li>Strong mathematical reasoning<\/li>\n <li>MoE architecture (efficient)<\/li>\n <li>Free tier available<\/li>\n <li>Competitive with GPT-4 & Claude<\/li>\n <\/ul>\n <\/div>\n <div class=\"cons\">\n <h3>\u274c Cons<\/h3>\n <ul>\n <li>Relatively new (Dec 2025)<\/li>\n <li>Smaller community than OpenAI<\/li>\n <li>Documentation still growing<\/li>\n <li>API pricing varies by provider<\/li>\n <li>May require integration setup<\/li>\n <\/ul>\n <\/div>\n <\/div>\n <\/div>\n\n <div class=\"cta-section\">\n <div class=\"cta-buttons\">\n <a href=\"https:\/\/docs.z.ai\/guides\/llm\/glm-4.7\" target=\"_blank\" class=\"cta-button\">Visit Z.AI Docs \u2192<\/a>\n <a href=\"https:\/\/openrouter.ai\/z-ai\/glm-4.7\" target=\"_blank\" class=\"cta-button secondary\">Try on OpenRouter \u2192<\/a>\n <\/div>\n <\/div>\n <\/div>\n<\/body>\n<\/html>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>GLM-4.7 AI – Advanced Coding & Reasoning Language Model GLM-4.7 AI Advanced Coding & Reasoning Language Model by Z.AI Quick Overview \ud83c\udf10 Website Z.AI \ud83d\udcb0 Pricing Free tier \/ API pricing available \ud83c\udfaf Best For Coding workflows, complex reasoning, mathematical tasks, multi-step execution, agentic applications \u2b50 Key Features 200K context window, 128K output, MoE architecture,…<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[31],"tags":[],"class_list":["post-2130","post","type-post","status-publish","format-standard","hentry","category-code-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/2130","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/comments?post=2130"}],"version-history":[{"count":4,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/2130\/revisions"}],"predecessor-version":[{"id":2134,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/posts\/2130\/revisions\/2134"}],"wp:attachment":[{"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/media?parent=2130"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/categories?post=2130"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teen.aiproinstitute.com\/zh\/wp-json\/wp\/v2\/tags?post=2130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}