<\/span><\/h2>\n![\"Benchmark](\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2025\/07\/31171042\/Benchmark-performance-for-GLM-4.5-and-GLM-4.5-Air.png\")
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Studying the benchmark comparison chart, it showing how different large language models are perform in the areas of agentic, coding, and reasoning tasks. It highlights Zhipu AI\u2019s new models \u2014 GLM-4.5 and GLM-4.5<\/strong> Air and how they stack up against competitors like GPT-4, Claude 4, Grok, and DeepSeek.<\/p>\nOverall, the model GLM-4.5 ranks 3rd overall, and GLM-4.5 Air ranks 6th, showing impressive performance.<\/p>\n
<\/span>Pricing Comparison: GLM 4.5 vs Deepseek vs Claude 3 vs GPT 4o<\/strong><\/span><\/h2>\n\n
\n\n\n| Basis<\/th>\n | Input Tokens ($\/million)<\/th>\n | Output Tokens ($\/million)<\/th>\n<\/tr>\n<\/thead>\n |
\n\n| GPT\u20114o<\/td>\n | ~$5\u201310<\/td>\n | ~$15\u201320<\/td>\n<\/tr>\n |
\n| Claude 3<\/td>\n | ~$25<\/td>\n | ~$75<\/td>\n<\/tr>\n |
\n| DeepSeek<\/td>\n | ~$0.14<\/td>\n | ~$0.30<\/td>\n<\/tr>\n |
\n| GLM-4.5<\/td>\n | ~$0.11<\/td>\n | ~$0.18<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n With such low-budget pricing, it opens serious possibilities for startups, educators, and IT companies to deploy models at scale without burning cloud credits.<\/p>\n <\/span>How To Access New GLM 4.5 Model?<\/strong><\/span><\/h2>\nAccess GLM 4.5 model via Hugging Face platform.<\/strong> At GitHub, you can access source code, training methods, and tools. At official website (z.ai) developers explore model API, agent SDKs, and Sandbox environment.<\/p>\n<\/span>What Developers Can Build Using GLM 4.5?<\/strong><\/span><\/h2>\nReal-world applications developers can build using GLM\u20114.5 and GLM\u20114.5 Air are as followed.<\/p>\n 1. Autonomous AI Agents<\/h3>\n\n- Tools like AutoGPT, BabyAGI, or CrewAI-style frameworks.<\/li>\n
- Task-driven agents that can plan, reason, and execute via APIs or function calling.<\/li>\n<\/ul>\n
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