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GPT-5.6 IQ Breaks 130 Genius Line, Smarter Than 99% of Humans, Practical Work Ability Also Extraordinary
Tracking AI’s latest offline IQ assessment reveals that multiple iterations of OpenAI’s GPT-5.6 achieved a score of 136, marking the first instance of a large language model exceeding the 130 IQ benchmark. In standard human distribution, an IQ of 130 signifies the threshold for “genius,” a level attained by merely 1% of the global population, effectively positioning GPT-5.6 as more intelligent than 99% of people.
Scoring 136 on the most rigorous, anti-leakage question bank, GPT-5.6 significantly outperformed its competitors.
Tracking AI utilized two distinct testing frameworks: an open-source Mensa Norway-style exam, where models already exceeded 140 points, and a proprietary, undisclosed offline question bank designed to prevent pre-memorization. GPT-5.6 successfully navigated this challenging offline dataset, with the entire SOL and TERRA family scoring 136, including its visual variant. Claude-5 Fable followed with 130 points, while GPT-5.6 LUNA Max and Claude-4.8 Opus lagged between 117 and 123 points. While models ranging from o3 to various flagship systems have historically plateaued at the 130 threshold, GPT-5.6 has become the first to break through.
Beyond test scores, GPT-5.6 demonstrates exceptional performance in practical applications.
High test metrics alone do not guarantee utility. Developers evaluated GPT-5.6 in real-world scenarios with striking results. When developer Amir Bohlooli submitted an identical physical simulation prompt to both Fable5 and GPT-5.6 Sol, he anticipated Fable’s dominance. Instead, GPT-5.6 Sol executed a particle fluid simulation with real-time physics, encapsulating CSS, interface design, and rendering within a single HTML file. It automatically hosted the result as a shareable web page, delivering a complete product from a single prompt. Similarly, Ramanpal Singh developed a customer ticket system using RAG with one prompt, incorporating four distinct roles, a management backend, automated complaint classification, and emotion recognition. This complex setup required only a fraction of the cost associated with Fable5.
Claire Vo’s experience highlighted these practical advantages. After encountering a persistent bug that she believed had crashed her code, she switched to GPT-5.6 Sol, remarking, “I won’t let this beat me.” Sol resolved the issue immediately and assisted other models in running smoothly. Vo’s assessment was clear: Fable’s rigid focus on technical precision hindered its effectiveness, whereas Sol’s pragmatic approach delivered tangible results.
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Tracking AI’s latest offline IQ assessment reveals that multiple iterations of OpenAI’s GPT-5.6 achieved a score of 136, marking the first instance of a large language model exceeding the 130 IQ benchmark. In standard human distribution, an IQ of 130 signifies the threshold for “genius,” a level attained by merely 1% of the global population, effectively positioning GPT-5.6 as more intelligent than 99% of people.
Scoring 136 on the most rigorous, anti-leakage question bank, GPT-5.6 significantly outperformed its competitors.
Tracking AI utilized two distinct testing frameworks: an open-source Mensa Norway-style exam, where models already exceeded 140 points, and a proprietary, undisclosed offline question bank designed to prevent pre-memorization. GPT-5.6 successfully navigated this challenging offline dataset, with the entire SOL and TERRA family scoring 136, including its visual variant. Claude-5 Fable followed with 130 points, while GPT-5.6 LUNA Max and Claude-4.8 Opus lagged between 117 and 123 points. While models ranging from o3 to various flagship systems have historically plateaued at the 130 threshold, GPT-5.6 has become the first to break through.
Beyond test scores, GPT-5.6 demonstrates exceptional performance in practical applications.
High test metrics alone do not guarantee utility. Developers evaluated GPT-5.6 in real-world scenarios with striking results. When developer Amir Bohlooli submitted an identical physical simulation prompt to both Fable5 and GPT-5.6 Sol, he anticipated Fable’s dominance. Instead, GPT-5.6 Sol executed a particle fluid simulation with real-time physics, encapsulating CSS, interface design, and rendering within a single HTML file. It automatically hosted the result as a shareable web page, delivering a complete product from a single prompt. Similarly, Ramanpal Singh developed a customer ticket system using RAG with one prompt, incorporating four distinct roles, a management backend, automated complaint classification, and emotion recognition. This complex setup required only a fraction of the cost associated with Fable5.
Claire Vo’s experience highlighted these practical advantages. After encountering a persistent bug that she believed had crashed her code, she switched to GPT-5.6 Sol, remarking, “I won’t let this beat me.” Sol resolved the issue immediately and assisted other models in running smoothly. Vo’s assessment was clear: Fable’s rigid focus on technical precision hindered its effectiveness, whereas Sol’s pragmatic approach delivered tangible results.
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2026 Latest Best AI Email Personalization Platforms for Shopify Flows that boost retention and win-backs. This top-rated curated list features powerful game-changing tools经过real-world tests, offering free vs paid comparison insights. XIX.AI is part of our trusted selection. Discover your perfect tool to unlock your AI edge today. Explore now!
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