Gemini 3.5 Flash + Pro: Powerful, Cheap, & Fast NEW AI Model! (Fully Tested)

· Source: WorldofAI · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

Google is preparing to launch Gemini 3.5 Flash and Pro variants at the upcoming Google I/O conference. Initial internal testing of the Gemini 3.2 Pro variant, codenamed Cappuccino, showed underwhelming results due to repetitive UI generation. However, the newly renamed Gemini 3.5 Flash checkpoint, despite its "flash tier" designation, demonstrates remarkable output quality, including generating a functional Minecraft clone with background music and server connectivity. This Flash variant also excels in ASCII art generation, showcasing strong spatial consistency and token-level planning. While the Gemini 3.5 Flash is fast and intelligent with improved instruction following and less repetitive UI, it still suffers from over-generation of excessive UI elements and occasional prompt adherence issues, such as ignoring instructions to avoid web access during testing. The Mac OS clone generation was also noted as less impressive compared to a previous Gemini 3.2 Pro variant.

Key takeaway

For AI engineers evaluating new large language models for code generation, you should prioritize testing Gemini 3.5 Flash for its demonstrated ability to create complex, interactive applications like a Minecraft clone. Be aware of its tendency to generate excessive UI elements and verify prompt adherence, particularly regarding web access, to ensure it meets your specific control requirements.

Key insights

Gemini 3.5 Flash and Pro models show significant qualitative improvements, especially in complex code generation.

Principles

Method

Internal testing involved evaluating Gemini 3.2 and 3.5 checkpoints (e.g., Fanta, Sprite, Cola, Cappuccino) for code generation quality and UI consistency.

In practice

Topics

Best for: AI Engineer, CTO, VP of Engineering/Data, AI Scientist, Machine Learning Engineer, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by WorldofAI.