{"id":6478,"date":"2025-12-12T04:19:41","date_gmt":"2025-12-12T08:19:41","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=6478"},"modified":"2026-03-19T06:44:58","modified_gmt":"2026-03-19T10:44:58","slug":"gpt-5-2-vs-claude-opus-4-5","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/de\/hub\/gpt-5-2-vs-claude-opus-4-5","title":{"rendered":"GPT 5.2 vs Claude Opus 4.5\u2014Which AI Model Is Truly Better?"},"content":{"rendered":"

Claude Opus 4.5<\/strong> currently leads in coding benchmarks<\/strong> like SWE-bench Verified, while GPT 5.2 delivers stronger abstract reasoning and math performance<\/a><\/strong> on benchmarks like ARC-AGI-2 and AIME.<\/p>\n\n\n\n

For developers focused on real-world code tasks, Opus 4.5\u2019s higher SWE-bench accuracy makes it appealing, but GPT-5.2\u2019s broader reasoning strength and professional knowledge performance<\/a> make it equally competitive in many workflows.<\/p>\n\n\n\n

If you want to use both Claude Opus 4.5 and ChatGPT 5.2<\/a> without paying double the high subscription fees, consider Global GPT<\/a>. As an all-in-one AI platform, it allows you to access over 100 of the latest top-tier models at the lowest possible cost<\/a>. More importantly, it runs very reliably, efficiently supporting both your work and study<\/a>.<\/p>\n\n\n\n

\"chatgpt<\/a><\/figure>\n\n\n\n
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Try GPT-5.2 Now ><\/strong><\/a><\/div>\n<\/div>\n\n\n\n

Model Overview \u2014 What Are <\/strong>GPT<\/strong> 5.2 and Claude Opus 4.5?<\/strong><\/h2>\n\n\n\n

GPT 5.2 <\/a><\/strong>is OpenAI\u2019s latest flagship large language <\/a>model released in December 2025<\/a>, designed to improve multi-step reasoning, long-context comprehension, and professional knowledge capabilities.<\/p>\n\n\n\n

\"Model<\/figure>\n\n\n\n

Claude Opus 4.5<\/a><\/strong> is Anthropic\u2019s newest frontier model, focused on enterprise coding quality, autonomous task performance, and safety features<\/strong>. It is widely marketed as a top contender for AI-assisted development.<\/p>\n\n\n\n

Both models aim to support coding, reasoning, and general productivity, but their strengths diverge depending on the task type and evaluation criteria.<\/p>\n\n\n\n

Side-by-Side Benchmark Comparison<\/strong><\/h2>\n\n\n\n

Here\u2019s a direct comparison of key performance metrics<\/strong> from vendor-reported benchmark data:<\/p>\n\n\n\n

Benchmark<\/td>GPT-5.2 Thinking<\/td>GPT-5.2 Pro<\/td>Claude Opus 4.5<\/td><\/tr>
SWE-bench Verified (coding)<\/td>80.00%<\/td>\u2014<\/td>80.90%<\/td><\/tr>
GPQA Diamond (science)<\/td>92.40%<\/td>93.20%<\/td>~88%<\/td><\/tr>
AIME 2025 (math, no tools)<\/td>100%<\/td>100%<\/td>~94%<\/td><\/tr>
ARC-AGI-2 (abstract reasoning)<\/td>52.90%<\/td>54.20%<\/td>37.60%<\/td><\/tr>
Humanity\u2019s Last Exam<\/td>34.50%<\/td>36.60%<\/td>~26%<\/td><\/tr>
FrontierMath Tier 1-3<\/td>40.30%<\/td>\u2014<\/td>\u2014<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\"Side-by-Side<\/figure>\n\n\n\n

Key takeaway:<\/strong><\/p>\n\n\n\n