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What is Google Gemini?

Google's Gemini emerges as the AI powerhouse reshaping multimodal interaction with 1.18 billion monthly visits and three distinct models.

Intelligence Desk4 min read

AI Snapshot

The TL;DR: what matters, fast.

Google Gemini serves 650 million monthly active users across three distinct AI models

Platform processes text, images, audio, video, and code simultaneously for versatile applications

Asia-Pacific integration includes partnerships with Apple Siri and Samsung devices

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Google's Multimodal AI Powerhouse Takes Centre Stage

Google has positioned itself at the forefront of the artificial intelligence revolution with Gemini, its multimodal AI model family that's reshaping how we interact with technology. Unlike traditional text-only models, Gemini processes text, images, audio, video, and code simultaneously, making it a versatile platform for everything from academic research to creative content generation.

The platform consists of three distinct models designed for different use cases. Gemini Ultra serves as the flagship model for complex reasoning tasks, Gemini Pro offers balanced performance for general applications, and Gemini Nano brings AI capabilities directly to mobile devices.

By The Numbers

  • Gemini's website receives over 1.18 billion monthly visits as of October 2025, with users averaging more than seven minutes per session
  • The platform powers AI Overviews for 2 billion monthly users in Google Search
  • The Gemini app boasts 650 million monthly active users in 2025, making it the largest AI app worldwide
  • Website traffic grew 643% year-over-year from February 2025 to February 2026, the fastest among major AI sites
  • Gemini API serves 2.4 million active developers, up 118% year-over-year as of early 2026

Three Models, Endless Possibilities

Each Gemini model targets specific use cases and deployment scenarios. Gemini Ultra excels at complex academic tasks, from solving physics problems to identifying relevant research papers. It also supports image generation capabilities, though some features remain under development.

Gemini Pro represents the sweet spot between capability and accessibility. It improves upon Google's earlier LaMDA model in reasoning, planning, and understanding whilst remaining free in many applications. The model is available through APIs in Vertex AI and AI Studio, giving developers customisation options for their specific needs.

"Gemini's numbers aren't just impressive, they're rewriting the playbook for AI adoption," according to Thunderbit analysis on the platform's user growth and integrations.

Gemini Nano brings AI processing directly to mobile devices like the Pixel 8 Pro. It powers practical features such as Summarize in Recorder and Smart Reply in Gboard, demonstrating how Google's top AI might actually be Gboard, not Gemini in terms of daily user impact.

Asia-Pacific Integration Accelerates

Gemini's reach extends far beyond Google's own products through strategic partnerships across Asia-Pacific. The AI model now powers Siri on Apple devices, bringing enhanced conversational abilities to millions of users across Japan, South Korea, and India.

Samsung devices come pre-installed with Gemini-powered features, particularly impactful in markets where Samsung dominates, such as South Korea and Southeast Asia. This integration provides hundreds of millions of users with immediate access to advanced AI capabilities without additional setup.

For students in the region, five ways Google Gemini is changing how students learn demonstrates the platform's educational impact, from personalised tutoring to research assistance.

Model Primary Use Case Availability Key Features
Gemini Ultra Complex reasoning Google One AI Premium Academic assistance, image generation
Gemini Pro General applications Free in apps, paid API Improved reasoning, planning
Gemini Nano Mobile devices Pixel 8 Pro, expanding On-device processing

Competitive Landscape and Performance

Google claims Gemini outperforms OpenAI's GPT-4 on academic benchmarks, though real-world performance differences vary by task. Some users and researchers have noted concerns about accuracy and coding suggestions, highlighting the ongoing competition between major AI platforms.

The comparison extends beyond raw performance metrics. While Google Gemini versus ChatGPT shows strengths and weaknesses on both sides, user preference often depends on specific use cases and interface design.

"Gemini is the fastest-growing AI website by a huge margin," reports 9to5Google, citing SimilarWeb data on the platform's 643% year-over-year traffic surge.

For developers and businesses, the choice between platforms involves considering API pricing, customisation options, and integration capabilities. Gemini Pro's current free tier in many applications provides a significant advantage for experimentation and small-scale deployment.

Practical Applications and Access Points

Users can experience Gemini through multiple channels. The Gemini apps provide the most straightforward access to Pro model capabilities, whilst developers can experiment through AI Studio or integrate via Vertex AI APIs.

Key application areas include:

  • Academic research and homework assistance across multiple subjects
  • Content creation and summarisation for businesses and creators
  • Image and video analysis for media and marketing applications
  • Code generation and debugging for software development
  • Multilingual communication and translation services
  • Mobile productivity features through Nano integration

The platform's multimodal nature sets it apart from text-only competitors. Users can upload images for analysis, generate artwork from text descriptions, and process video content for insights. This comprehensive approach aligns with maximising Gemini's potential across different workflows.

What makes Gemini different from other AI models?

Gemini's multimodal capabilities allow it to process text, images, audio, video, and code simultaneously, unlike text-only models. This enables more comprehensive understanding and generation across different media types within a single conversation.

How much does Google Gemini cost to use?

Gemini Pro is free in the Gemini apps and certain developer tools. Gemini Ultra requires a Google One AI Premium subscription, whilst API usage has separate pricing tiers based on usage volume and model selection.

Can I use Gemini on mobile devices?

Yes, Gemini Nano runs directly on supported devices like the Pixel 8 Pro, powering features in native apps. The Gemini app is also available for download on iOS and Android devices for broader access.

Is Gemini available in Asian languages?

Gemini supports multiple Asian languages including Chinese, Japanese, Korean, Hindi, and others. Language support varies by model and feature, with ongoing expansion to serve the diverse Asia-Pacific market more effectively.

How does Gemini compare to ChatGPT for business use?

Both platforms offer strong capabilities, but Gemini's multimodal features and Google ecosystem integration provide advantages for businesses already using Google Workspace. API pricing and customisation options vary between platforms, requiring evaluation based on specific needs.

The AIinASIA View: Gemini represents Google's most serious challenge to OpenAI's dominance, particularly in Asia-Pacific markets where mobile-first adoption and multimodal capabilities matter most. The platform's integration across Google's ecosystem and partnerships with Apple and Samsung create distribution advantages that pure-play AI companies struggle to match. However, the real test lies not in benchmark scores but in sustained user engagement and developer adoption. We believe Gemini's success will ultimately depend on maintaining the delicate balance between capability and accessibility whilst addressing accuracy concerns that have plagued early versions.

The AI landscape continues evolving rapidly, with new capabilities and applications emerging regularly. For those interested in staying ahead of these developments, exploring how to use Gemini's best prompts can unlock more sophisticated interactions with the platform.

As Google's Gemini reshapes the AI landscape across Asia-Pacific, how do you see multimodal AI changing your daily workflows and creative processes? Drop your take in the comments below.

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Latest Comments (4)

Amelia Taylor@ameliat
AI
5 February 2026

i'm still trying to debug why my client's "lite" model is performing worse than their older one for summarization... maybe i need to wait for Gemini Ultra to drop, the Pro just doesn't seem to cut it in real scenarios yet.

Miguel Santos
Miguel Santos@migssantos
AI
10 January 2026

yeah the multimodal stuff is where it gets interesting for us. being able to process audio and video for call centers, that's massive. could really streamline a lot of BPO work.

Dr. Farah Ali
Dr. Farah Ali@drfahira
AI
7 January 2026

I'm just seeing this now, but it brings up an important point for us in the Global South. While "Gemini Pro available for free in certain applications" sounds promising, the real question is which applications? And for whom? Often, these 'free' tiers are limited in ways that disadvantage users in regions with less robust infrastructure or different data needs. The unannounced pricing for Gemini Ultra also raises concerns about equitable access to the most advanced capabilities. We need transparency on how these models will be made truly accessible and beneficial beyond established tech hubs.

Harry Wilson
Harry Wilson@harryw
AI
7 April 2024

The multimodal aspect of Gemini definitely sets it apart from earlier models like LaMDA, as the article mentions. It feels like a significant step towards more generalized intelligence if we can move beyond just text. I'm really curious about the practical implications for tasks like video captioning or even code generation when it's handling multiple input types fluidly. Does the underlying architecture use something akin to a transformer for each modality, then combine the representations? Or is it a more integrated, early fusion approach?

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