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New Gemini 3 Deep Think Released, Tops Programming and Research Rankings — Only 7 Can Beat It
Google's Gemini3Deep Think received a significant update today. Designed for deep reasoning, this model not only achieves champion‑level performance in programming but also sets new records in scientific research and hardcore engineering, marking a leap forward in AI reasoning capabilities.
Gemini3Deep Think's standout achievements:
Programming mastery: It achieved an impressive Elo score of 3455 on the Codeforces algorithm competition platform. That places it among top human competitors, with only seven humans worldwide capable of beating it. For context, the strongest o3 model from a year ago scored 2727.
Powerful brain for scientific research: The model demonstrates rigorous logical reasoning, catching subtle errors in a high‑level physics and mathematics paper that even human peer reviewers overlooked. It also succeeded in proving several challenging problems related to the "Erdős conjecture."
From sketch to physical product: In engineering, it can directly analyze a hand‑drawn sketch and render it into a high‑fidelity 3D model file (like a notebook stand), boosting the efficiency of physical component modeling by tenfold.
Comprehensive breakthroughs in benchmark tests: It scored 48.4% on the "Last Human Exam" (HLE) and achieved an impressive 84.6% accuracy on the ARC‑AGI‑2 benchmark, leading the rankings.
Currently, Google has made the new version available to AI Ultra subscribers and, for the first time, provided API access to select researchers and companies. This major upgrade to Gemini is seen as a strong response to competitors' reasoning models.
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I've been testing Gemini 3 Deep Think for a few days, and honestly, it's mind-blowing how it handles complex code refactoring. But I wonder if this level of compute is sustainable for everyday developers? 🤔
Google's Gemini3Deep Think received a significant update today. Designed for deep reasoning, this model not only achieves champion‑level performance in programming but also sets new records in scientific research and hardcore engineering, marking a leap forward in AI reasoning capabilities.
Gemini3Deep Think's standout achievements:
Programming mastery: It achieved an impressive Elo score of 3455 on the Codeforces algorithm competition platform. That places it among top human competitors, with only seven humans worldwide capable of beating it. For context, the strongest o3 model from a year ago scored 2727.
Powerful brain for scientific research: The model demonstrates rigorous logical reasoning, catching subtle errors in a high‑level physics and mathematics paper that even human peer reviewers overlooked. It also succeeded in proving several challenging problems related to the "Erdős conjecture."
From sketch to physical product: In engineering, it can directly analyze a hand‑drawn sketch and render it into a high‑fidelity 3D model file (like a notebook stand), boosting the efficiency of physical component modeling by tenfold.
Comprehensive breakthroughs in benchmark tests: It scored 48.4% on the "Last Human Exam" (HLE) and achieved an impressive 84.6% accuracy on the ARC‑AGI‑2 benchmark, leading the rankings.
Currently, Google has made the new version available to AI Ultra subscribers and, for the first time, provided API access to select researchers and companies. This major upgrade to Gemini is seen as a strong response to competitors' reasoning models.
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As AI-driven coding tools gain traction, Swedish startup Lovable has secured a major funding round. The company aims to raise $3 billion, potentially boosting its valuation to $13.2 billion—double the $6.6 billion recorded last December. Menlo Ventur
Google Tests Remy AI Agent for Gemini as Focus Shifts to User Control
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I've been testing Gemini 3 Deep Think for a few days, and honestly, it's mind-blowing how it handles complex code refactoring. But I wonder if this level of compute is sustainable for everyday developers? 🤔
