On November 18, 2025, Google will officially release its strongest AI model - Gemini 3.0 Pro. This new generation of big language model, which is praised by the industry as the "possibly strongest model", has quietly appeared on the Vertex AI platform, attracting the keen attention of AI developers worldwide. Based on user testing of "Advanced Dianying", the performance of Gemini 3.0 can be described as "explosive level", even causing stock god Buffett to invest 30.5 billion yuan heavily in Google!
Gemini 3.0 Core Highlights: Six Revolutionary Upgrades
1. Million level contextual window: a qualitative leap in AI memory
The most impressive feature of Gemini 3.0 Pro is its support for ultra long context lengths of up to 1 million tokens. What is this concept?
Actual application scenarios:
Enterprise level application: one-time analysis of complete financial reports, legal contracts, research paper collections
Developer's Gospel: Directly understand the entire code repository without the need for segmented processing
Academic research: Simultaneously processing multiple papers and establishing a cross literature knowledge graph
2. Full modal deep reasoning: seamless integration from text to audio and video
Supported modal types:
Understanding and Generating Text Content
Image recognition and creation (combined with Nano Banana technology)
Video scene analysis and editing suggestions
Audio Processing and Music Creation
Code Writing and Debugging
Breakthrough feature display:
According to IT Home's test report, Gemini 3.0 demonstrates amazing creativity:
Game development: Creating Minecraft style tower defense games in web pages using SVG animations
Interaction design: Reproduce Switch devices with screens that can simulate Pok é mon
Music Creation: Independently create and perform original music works
Visual Arts: Generating Complex 'Creative Wormhole' Visual Effects
3. Deep reasoning ability: moving towards General Artificial Intelligence (AGI)
Gemini 3.0 is equipped with an enhanced reasoning and planning system, which means it can not only answer questions, but also:
Task decomposition: Breaking down complex requirements into executable steps
Logical chain reasoning: maintaining multi-stage causal relationships
Tool invocation: dynamically using external APIs and databases
Self planning: Developing a complete path to solve problems
Practical case: When asked to "help me plan a 7-day trip to Japan", Gemini 3.0 can:
Analyze budget and preferences
Search for the best flights and hotels
Plan daily itinerary routes
Book a restaurant and consider operating hours
Generate detailed travel guides
4. SVG Graphics Capability Leap: From Flat to Interactive
Gemini 3.0 has made a qualitative leap in vector graphics generation. According to user testing:
Static graphics: The drawn iPhone model completely eliminates the unreal feeling of vector element stitching
Interactive animation: Create a web-based fan with switchable and adjustable speed
Game Scene: Generate Minecraft Arena that supports mobile exploration
Web Clone: Reproduce YouTube interface with video playback function
5. Programming Ability Enhancement: A Super Assistant for Developers
Improvement in code generation quality:
Complete the complex migration from Python to Rust in one go (this is the key demonstration that made Buffett decide to invest heavily)
Generate front-end code for enterprise level CRM dashboard
Performance bottleneck of automatic optimization algorithm
Supported development scenarios:
Front end development (React, Vue, Svelte)
Backend services (Node.js, Python, Go)
Mobile applications (Flutter, React Native)
Database Design and SQL Optimization