Google’s Gemini 4 Carbon Tops Artificial Analysis Intelligence Index, Becomes Top AI Model In The World

After nearly a year in the wilderness, Google is back to the top of the AI pile.

​Google has officially seized the crown in the global artificial intelligence race. With the rollout of its next-generation frontier model, Gemini 4 Carbon, Google has surged to the #1 spot on the newly updated Artificial Analysis Intelligence Index (v5.0), scoring an impressive 59 points.

​The latest benchmark release highlights a major shift in the AI landscape, with Gemini 4 Carbon leapfrogging competitors like Claude Opus 5.5 (scoring 58) and GPT-6 Astra (scoring 57) to claim the title of the world’s most intelligent AI model.

​A Comprehensive Sweep Across Benchmarks

​Google’s latest model didn’t just win by a narrow margin; it demonstrated a dominant, cross-domain performance advantage. According to benchmark metrics accompanying the v5.0 index release, Gemini 4 Carbon excels across multiple technical and enterprise vectors:

  • ​General Capabilities: Gemini 4 Carbon leads the pack with a score of 59 on the AA Index v5.0 and a stellar 70.4% on the Vals Index v2.0.
  • ​Agentic Coding & Terminal Tasks: Proving its value to software engineering teams, Carbon scored 65.2% on Terminal-Bench 4.0 and strong figures in agentic coding frameworks.
  • ​Computer Use & Knowledge Work: In practical enterprise scenarios, the model achieved 77.4% on Agents’ Last Exam v1.1 and 81.5% on the OSWorld offline subset, alongside handling complex workflows like Vending-Bench 2 ($16,484 final bank balance).
  • ​Science, Math, and Cybersecurity: Gemini 4 Carbon scored 80.0% on RiemannBench and delivered groundbreaking capabilities in cybersecurity defense, hitting an unprecedented 88.2% on SEC-bench Pro to autonomously uncover complex flaws in real-world software.

​What This Means for Enterprise and AI

​As AI shifts rapidly from simple text-generation chat interfaces to autonomous agents capable of executing multi-step computer tasks, coding, and cyber-defense, raw intelligence metrics matter more than ever. Google’s design of Gemini 4 Carbon as a natively multimodal, reasoning powerhouse appears to have paid off, giving enterprises a tool capable of deep visual understanding, long-context reasoning (scaling smoothly from 256k to 1M tokens), and complex multi-turn investigations.

​With Artificial Analysis tightening its evaluation standards—incorporating rigorous private test sets and demanding agentic environments in Index v5.0—Gemini 4 Carbon’s top-tier ranking solidifies Google’s leadership position in the current frontier of AI development.

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