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Home » Google Gemini 3.5 Pro Reveals 2 Million Tokens, AI Outperforms Claude Fable 5

Google Gemini 3.5 Pro Reveals 2 Million Tokens, AI Outperforms Claude Fable 5

Seok Chen by Seok Chen
July 7, 2026
in AI
Reading Time: 1 min read
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According to reports from IT Home on July 7, a prominent insider known as @HarshithLucky3 shared noteworthy details on the X platform regarding Google’s upcoming AI advancements. The insider indicated that Google is planning to unveil its latest model, Gemini 3.5 Pro, on July 17. This new iteration is expected to feature an impressive context window supporting approximately 2 million tokens and will introduce a novel “deep thinking” reasoning mode designed to enhance computational and logical capabilities.

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Sources suggest that Gemini 3.5 Pro is tailored for complex workflows involving intelligent systems. Its development centers around enabling advanced action execution, managing subordinate AI agents, programming functionalities, multi-modal content generation, and handling long-duration tasks. Compared to the currently available Gemini 3.5 Flash, this model aims to take on more sophisticated reasoning and execution roles, positioning itself as a higher-tier solution in Google’s AI ecosystem.

In addition, the insider shared what is purportedly a screenshot from LMSYS Chatbot Arena, demonstrating Gemini 3.5 Pro’s performance in a coding challenge. The task involved generating an SVG graphic of a minimalist, isometric punch card machine. The results indicate that Gemini 3.5 Pro outperformed Anthropic’s Claude Fable 5 High, showcasing its superior generative capabilities.

Further, two comparative videos were released illustrating Gemini 3.5 Pro alongside Claude Fable 5’s front-end interface. Observers noted that Gemini appears to have a more refined interface design, enhanced SVG generation functions, and a more robust autonomous workflow, hinting at a significant upgrade in user experience and technical prowess.

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As the release date approaches, anticipation grows about how Gemini 3.5 Pro will impact the AI landscape, especially considering its targeted application in complex and multimodal intelligent systems. Google’s push into advanced reasoning models signals a shift toward more capable and versatile AI tools designed for demanding computational and creative tasks.

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Seok Chen

Seok Chen

Seok Chen is a mass communication graduate from the City University of Hong Kong.

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