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Apple Ditches ChatGPT: Gemini 3 Will Power Siri's Brain

In 12 months, Google Gemini went from 5.7% to 21.5% market share. ChatGPT dropped 22 points. And Apple just chose Gemini for Siri. Here's what you need to know.

AdScriptly.io Team
-January 27, 2026-12 min read
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Visual representation of artificial intelligence and neural networks competing

Photo by Google DeepMind on Unsplash

Key takeaways

January 2026: Google Gemini 3 captures 20% of the global AI market. ChatGPT loses 22 percentage points. Apple signs billion-dollar deal with Google. The AI war has a new leader.

On January 12, 2026, Apple announced something nobody expected: Siri will use Google Gemini as its AI brain. Not OpenAI. Not Claude. Google.

This deal, valued at approximately $1 billion annually, marks the most significant turning point in the artificial intelligence war since ChatGPT exploded in November 2022.

But the Apple deal is just the tip of the iceberg. January 2026 market data reveals a tectonic shift:

  • Google Gemini: From 5.7% to 21.5% of the global market (+277% in 12 months)
  • ChatGPT: From 86.7% to 64-68% of the market (-22 percentage points)
  • Claude: Dominates 54% of the enterprise coding market
  • Grok: Surpasses Perplexity with ~3% market share

This is the complete story of how Google went from loser to serious contender, what it means for you as a user, and why 2026 may be the year Gemini finally catches up to ChatGPT.

ChatGPT's Fall: From 87% to 64%

Exactly one year ago, ChatGPT was practically synonymous with "artificial intelligence." With 86.7% of the global AI chatbot market, OpenAI seemed unbeatable.

Today, that advantage has evaporated by nearly a third.

What Happened?

1. The Ads Controversy (January 2026)

On January 16, OpenAI announced that ChatGPT would show personalized ads in the free and Go ($8/month) plans. Sam Altman, who had publicly said he "hated" ads and that mixing them with AI would be "disturbing," had to eat his words.

The reaction was brutal:

  • Massive exodus of Free users to Gemini and Claude
  • 8% drop in daily engagement according to Similarweb
  • Criticism from the tech community for "betraying founding values"

2. Gemini 3 Surpassed Key Benchmarks

Google didn't stand idle. Gemini 3 Pro achieved:

  • 1501 Elo on LMArena (world record)
  • 91.9% on GPQA Diamond (PhD-level reasoning)
  • 76.2% on SWE-Bench (coding)
  • 81% on MMMU-Pro (multimodal reasoning)

3. Native Distribution Wins

While ChatGPT requires you to download an app or visit a website, Gemini is embedded where you already are:

  • Chrome (3.5 billion users)
  • Android (3 billion devices)
  • Google Workspace (3 billion users)
  • Google Search (8.5 billion daily searches)
  • And now: iOS/Siri (2+ billion Apple devices)

You don't need to "go use Gemini." Gemini comes to you.

The Apple-Google Deal: $1 Billion for Siri

On January 12, 2026, Apple and Google announced a deal that redefines the AI landscape.

Deal Terms

Aspect Detail
Type Multi-year, white-label agreement
Estimated value ~$1 billion/year
Custom model 1.2 trillion parameters (Apple exclusive)
Launch iOS 26.4 (March-April 2026)
Branding No visible Google branding ("white-label")

What This Means for iPhone Users

Siri will become significantly smarter:

  • Better understanding of personal context
  • On-screen awareness (understands what's on your screen)
  • Deep control of third-party apps
  • Natural multi-turn conversations

What DOESN'T change:

  • It's still "Siri" (you won't see Google branding)
  • Privacy maintained with on-device Apple Intelligence
  • ChatGPT still available as an "opt-in" option

Why OpenAI Lost the Deal

According to Financial Times, OpenAI rejected the deal, not the other way around. The reasons:

  1. Priority on their own hardware: OpenAI is developing a device with Jony Ive (former Apple designer)
  2. Don't want to be Apple's "backend": They prefer direct relationship with users
  3. Business model differences: Apple wanted white-label, OpenAI wanted branding

The result: Apple conducted a "rigorous evaluation" of Anthropic, OpenAI, and Meta Llama, and chose Gemini.

Gemini 3: Technical Specifications

Google launched Gemini 3 with three variants designed for different use cases.

Model Family

Model Use Features
Gemini 3 Pro Complex tasks, advanced reasoning Multimodal, agentic capabilities
Gemini 3 Flash Speed, reduced cost Accessible frontier intelligence
Gemini 3 Deep Think Ultra-complex reasoning Multiple interconnected steps

The 1 Million Token Context Advantage

Gemini 3's most impressive specification is its 1 million token context window (up to 2M for enterprise).

What does this mean in practice?

  • 1,500 pages of text in a single conversation
  • 50,000 lines of code analyzed simultaneously
  • 200+ episodes of transcribed podcasts
  • Complete 1-hour videos processed natively

Comparison with competitors:

Model Maximum context
Gemini 3 Pro 1,000,000 tokens
Claude 3.5 Sonnet 200,000 tokens
ChatGPT-4o ~128,000 tokens
GPT-5 ~256,000 tokens

This capability transforms previously impossible use cases:

  • Analyzing complete legal contracts
  • Reviewing entire code repositories
  • Processing months of meeting transcripts

Native Multimodal Capabilities

Unlike ChatGPT, which "translates" between modalities, Gemini 3 processes natively:

  • Text
  • Images
  • Audio
  • Video
  • Code
  • PDFs

This means better performance on tasks that combine multiple formats, like analyzing a video with subtitles and generating a written summary.

Benchmarks: Gemini 3 vs ChatGPT-5.2

January 2026 benchmarks show tight competition, with each model leading in specific areas.

Complete Comparison Table

Aspect Gemini 3 Pro ChatGPT 5.2
Market share 18-21.5% 64-68%
Maximum context 1M tokens ~128K tokens
Native multimodal Yes Partial
Search speed ~5 seconds ~25 seconds
AIME 2025 (Math) N/A 100%
SWE-Bench (Coding) 76.2% 80%
Hallucinations Less (search grounding) More on real-time queries
Creative writing Good Excellent
Mathematical reasoning Excellent (IMO: 23/25) Excellent
Ecosystem integration Google Suite, Android, Apple Standalone, API
API price (1M tokens) $2/$12 $1.25/$10
Free tier Yes (limited) Yes (with ads)

Where Gemini 3 Wins

1. Massive Context (1M tokens)

No competitor comes close. For projects requiring analysis of large volumes of information, Gemini is the only viable option.

2. Fewer Hallucinations with Search Grounding

Gemini uses Google Search to verify information in real-time, significantly reducing "hallucinations" (made-up responses that sound plausible).

3. Search Speed

When you need updated information, Gemini responds in ~5 seconds vs ~25 seconds for ChatGPT.

4. Native Distribution

You don't need to go to gemini.google.com. Gemini is in Chrome, Android, Workspace, and soon in Siri.

Where ChatGPT 5.2 Wins

1. Coding (80% vs 76.2% on SWE-Bench)

ChatGPT remains the king of code. For developers, GPT-5 produces more consistent code with fewer errors.

2. Creative Writing

For long-form content, storytelling, and marketing copy, ChatGPT has a more polished and natural "style."

3. Consistency in Long Conversations

Gemini sometimes "forgets" context in very long conversations. ChatGPT maintains better coherence.

4. Deeper Chain-of-Thought

For problems requiring step-by-step reasoning, o1 and GPT-5 show more structured thinking.

Pricing: Which Is Cheaper?

Price is where Gemini competes aggressively.

Consumer Plans

Plan Gemini ChatGPT
Free Yes (no ads) Yes (with ads since January 2026)
Basic $19.99/month (Advanced) $20/month (Plus)
Students Free 1 year (selected regions) Not available
Premium $29.99/month (Ultra) $200/month (Pro)

API Pricing (for developers)

Model Input (per 1M tokens) Output (per 1M tokens)
Gemini 3 Pro $2.00 $12.00
Gemini 3 Flash $0.50 $3.00
GPT-5 $1.25 $10.00
Claude Opus 4.5 $5.00 $25.00

Price Verdict:

  • For consumers: Gemini wins (free tier without ads)
  • For developers: GPT-5 is slightly cheaper, but Flash is unbeatable for low cost

Real User Opinions

After analyzing hundreds of reviews on Reddit, X (Twitter), and specialized forums, these are the patterns we found.

What Users Love About Gemini 3

On mathematical capabilities:

"I've been testing Gemini 3 Pro for 48 hours. The mathematical reasoning is impressive - it correctly solved 23/25 problems from the International Mathematical Olympiad qualifier. Better than most human mathematicians."

On long context:

"Gemini 3.0 is the only one that doesn't collapse with my 800-page novel manuscript. Context size matters."

On search:

"For non-coding cases, Gemini 3 hallucinates much less because it uses search grounding. Gemini's search grounding is significantly better than ChatGPT."

Most Common Criticisms

Conservative guardrails:

"Gemini 3.0 is conservative by design" - multiple reviewers report limitations on certain types of creative or controversial content.

Variable latency:

"Trade-offs include slower latency in Deep Think mode (10-15 seconds), premium pricing (~$30/month Ultra)"

Inconsistent experiences:

"I used Gemini 3, didn't find it better than other models. I don't understand the hype."

Case Study: Equifax

Credit company Equifax conducted a pilot with 1,500 employees using Gemini 3:

  • 97% requested to keep their licenses after the pilot
  • 90% reported measurable increases in work quality and quantity
  • Employees saved over 1 hour/day on routine tasks

The Future: Predictions for 2026-2027

Scenario 1: Google Reaches Parity (35-40% vs 35-40%)

Conditions:

  • iOS 26.4 with Siri+Gemini is a massive success
  • ChatGPT with ads generates more exodus
  • Gemini 4 arrives before GPT-6

Probability: 30%

Scenario 2: ChatGPT Stabilizes (50% vs 25%)

Conditions:

  • OpenAI launches GPT-6 with significant improvements
  • The Jony Ive device generates buzz
  • ChatGPT ads don't bother users as much as expected

Probability: 45%

Scenario 3: Total Fragmentation

Conditions:

  • No model clearly dominates
  • Claude captures 15-20% of the market
  • Open-source models (DeepSeek, Llama) capture 20%+
  • ChatGPT ~30%, Gemini ~25%, others ~45%

Probability: 25%

Trends That Will Define 2026

1. From Assistant to Agent

2026 marks the transition from AI that "talks" to AI that "acts." Gartner predicts that 40% of enterprise apps will use AI agents this year.

2. Massive Infrastructure Investment

Goldman Sachs estimates $527 billion in AI capex investment from hyperscalers alone (Google, Microsoft, Amazon, Meta).

3. European Regulation

The EU AI Act fully applies in August 2026. This could favor European companies or create barriers for OpenAI/Google.

4. Robotics and Physical AI

The industry seeks new ideas beyond LLM scaling. Google (with DeepMind) has an advantage here.

Our Experience Testing Gemini 3 vs ChatGPT

After using both platforms over the past weeks, here's our honest assessment.

What We Use Gemini 3 For

Long document analysis: If you need to process contracts, academic papers, or extensive code, Gemini is clearly superior. The 1M token capacity is unmatched.

Research with updated sources: Search grounding significantly reduces hallucinations. For questions about recent events, Gemini gives more accurate answers.

Tasks integrated with Google Workspace: If you already live in Gmail, Docs, and Drive, Gemini feels natural.

What We Still Use ChatGPT For

Complex coding: For serious software development, GPT-5 produces cleaner code with fewer iterations.

Creative writing and copy: ChatGPT's "style" remains more refined for marketing content, blogs, and storytelling.

Long and complex conversations: ChatGPT maintains context better in multi-hour sessions.

The Practical Verdict

Casual user: Use Gemini (free, no ads, integrated into Chrome)

Developer: Depends. Complex coding β†’ ChatGPT. Large codebase analysis β†’ Gemini.

Business professional: If you use Google Workspace, Gemini. If you use Microsoft 365, Copilot/ChatGPT.

Student: Gemini (free tier for students, no ads)

Content creator: ChatGPT remains superior for creative writing.

Conclusion: The War Has Just Begun

January 2026 will mark a before and after in artificial intelligence history.

For the first time since ChatGPT's launch in November 2022, Google has proven it can compete head-to-head. The numbers are clear:

  • Gemini 3 went from 5.7% to 21.5% market share in 12 months
  • ChatGPT fell from 86.7% to 64-68%
  • Apple chose Gemini over OpenAI for the future of Siri
  • Native distribution (Chrome, Android, iOS) is an advantage OpenAI can't match

Who Will Win?

The honest answer: nobody will win completely.

We're entering an era of productive fragmentation, where different models dominate different niches:

  • Gemini: Integration, long context, search grounding
  • ChatGPT: Coding, creative writing, recognized brand
  • Claude: Enterprise, privacy, ethical reasoning
  • Open-source: Customization, low costs, data sovereignty

The Final Recommendation

Don't marry any model. Competition between Gemini, ChatGPT, and Claude is excellent for users:

  • Prices dropping
  • Capabilities improving
  • More generous free tiers
  • Accelerated innovation

My advice: Try Gemini 3 for free. If you're already a ChatGPT Plus user, keep your subscription but use both depending on the task. AI is a tool, not a religion.

And if you're waiting for a "definitive winner" in the AI war, prepare to wait a long time. This battle has just begun.


Have you tried Gemini 3 yet? Is ChatGPT still your favorite? Competition benefits all users. Choose the tool that best solves YOUR problems.

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Frequently Asked Questions

Is Gemini 3 better than ChatGPT in 2026?

It depends on the use case. Gemini 3 beats ChatGPT in long context (1M tokens vs 128K), search speed (~5 sec vs ~25 sec), and has fewer hallucinations thanks to search grounding. ChatGPT remains superior in coding (80% vs 76.2% on SWE-Bench) and creative writing. For casual users, Gemini wins with its ad-free tier. For developers, ChatGPT is still the reference.

Why did Apple choose Gemini instead of ChatGPT for Siri?

According to Financial Times, OpenAI rejected the deal, not Apple. OpenAI prioritizes their own device with Jony Ive and didn't want to be Apple's 'invisible backend.' Apple evaluated Anthropic, OpenAI, and Meta Llama, choosing Gemini after a 'rigorous evaluation.' The deal, valued at ~$1 billion annually, includes a custom 1.2 trillion parameter model exclusive to Apple.

How much does Gemini 3 cost vs ChatGPT?

Gemini offers a free tier WITHOUT ads, while ChatGPT Free now shows ads (since January 2026). Gemini Advanced costs $19.99/month vs ChatGPT Plus at $20/month. For developers, Gemini 3 Pro costs $2/$12 per million tokens (input/output) vs GPT-5 at $1.25/$10. Gemini 3 Flash is the cheapest option: $0.50/$3 per million tokens.

What's special about Gemini 3's 1 million token context?

The 1 million token context allows processing in a single conversation: 1,500 pages of text, 50,000 lines of code, or complete 1-hour videos. No competitor comes close: Claude has 200K tokens, ChatGPT ~128K. This transforms use cases like legal analysis, complete codebase review, or processing months of meeting transcripts.

Will ChatGPT disappear due to Gemini competition?

No. ChatGPT remains the leader with 64-68% market share, has 800 million weekly active users, and OpenAI is valued at up to $830 billion. However, its absolute dominance (86.7% a year ago) has ended. We're entering an era of fragmentation where different models dominate different niches: Gemini in integration and context, ChatGPT in coding and creativity, Claude in enterprise.

Written by

AdScriptly.io Team

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