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Gemini 3 Pro vs ChatGPT 5: Which AI is Better in 2025?


Smartphone displaying ChatGPT app, with bold "ChatGPT5" and "Gemini 3" text on a black background adorned by digital patterns.

In the rapidly advancing world of artificial intelligence, November 2025 has seen Google strike back decisively with Gemini 3 Pro (launched November 18, 2025), directly challenging OpenAI's GPT-5.1 (released mid-November 2025 as an upgrade to the August GPT-5).

Search terms like "Gemini 3 Pro vs ChatGPT 5", "best AI model 2025", and "Google vs OpenAI benchmarks" are exploding as developers, researchers, and everyday users seek clarity on the current leader. This comprehensive, data-driven blog post analyzes the official benchmarks, features, real-world performance, and accessibility to determine the winner in this epic AI battle.


The 2025 AI Landscape: A Tight Race Turns Decisive


2025 has been defined by frontier models pushing toward AGI-like capabilities. OpenAI's GPT-5 (August) and GPT-5.1 (November) focused on adaptive reasoning, warmer personalities, and efficiency. Google's Gemini 3 Pro arrives as a multimodal powerhouse with "generative interfaces," agentic tools, and unmatched depth in reasoning and coding.

Independent evaluations and official model cards (as of November 19, 2025) show Gemini 3 Pro dominating most academic, multimodal, and agentic benchmarks, while GPT-5.1 holds advantages in conversational fluidity and ecosystem maturity.


Release Timeline and Availability


  • Gemini 3 Pro: Launched November 18, 2025. Instantly available in the Gemini app (free with limits), Google Search AI Mode, Vertex AI, and Gemini API. "Deep Think" mode (even stronger reasoning) coming soon for Ultra subscribers.

  • GPT-5.1: Released November 13, 2025 (Instant and Thinking variants). Default in ChatGPT for all users; full access via Plus/Pro plans and OpenAI API.

Gemini 3 Pro leverages Google's 650M+ monthly users, while GPT-5.1 benefits from ChatGPT's massive weekly active base.


Key Features Head-to-Head


Category

Gemini 3 Pro

GPT-5.1

Edge

Multimodal

Native text/image/audio/video; generative UIs, interactive layouts

Strong voice mode, image editing, adaptive personalities

Gemini (creative depth)

Reasoning

Deep Think mode; PhD-level on science/math

Adaptive thinking router; warmer, faster on simple tasks

Gemini

Coding/Agentic

Antigravity IDE; tops WebDev/Terminal benchmarks

Excellent debugging; strong SWE-Bench

Gemini

Context Window

1M tokens (expandable)

Up to 196K-400K tokens

Gemini

Speed

Balanced; fast with tools

2-3x faster on everyday tasks

GPT-5.1

Gemini shines in visual/creative tasks (e.g., dynamic magazine-style responses), while GPT-5.1 feels more "human" in casual chat.


Official Benchmarks: Gemini 3 Pro Sets New Records


Bar graph comparing performance of AI models in reasoning, scientific knowledge, and visual puzzles. Blue bars indicate higher scores.

The leaked-then-confirmed Gemini 3 Pro model card (November 2025) provides direct comparisons across dozens of evaluations. Gemini 3 Pro outperforms GPT-5.1 in nearly every reasoning, multimodal, and agentic category.

Benchmark

Description

Gemini 3 Pro

Gemini 2.5 Pro

Claude Sonnet 4.5

GPT-5.1

Winner

Humanity’s Last Exam

Academic reasoning (No tools)

37.5%

21.6%

13.7%

26.5%

Gemini

Humanity’s Last Exam

With search & code execution

45.8%

—

—

—

Gemini

ARC-AGI-2

Visual reasoning puzzles

31.1%

4.9%

13.6%

17.6%

Gemini

GPQA Diamond

Scientific knowledge (No tools)

91.9%

86.4%

83.4%

88.1%

Gemini

AIME 2025

Mathematics (No tools)

95.0%

88.0%

87.0%

94.0%

Gemini

AIME 2025

With code execution

100%

—

100%

—

Tie

MathArena Apex

Challenging math contest problems

23.4%

0.5%

1.6%

1.0%

Gemini

MMMU-Pro

Multimodal understanding & reasoning

81.0%

68.0%

68.0%

76.0%

Gemini

ScreenSpot-Pro

Screen understanding

72.7%

11.4%

36.2%

3.5%

Gemini

Video-MMMU

Knowledge from videos

87.6%

83.6%

77.96%

80.4%

Gemini

LiveCodeBench Pro

Competitive coding (Elo, higher better)

2,439

1,775

1,418

2,243

Gemini

Terminal-Bench 2.0

Agentic terminal coding

54.2%

32.6%

42.8%

47.6%

Gemini

SWE-Bench Verified

Agentic coding (single attempt)

76.2%

59.6%

77.2%

76.3%

Tie (~)

SimpleQA Verified

Parametric knowledge/factual accuracy

72.1%

54.5%

29.3%

34.9%

Gemini

LMArena Elo (Overall)

Crowd-sourced preference

1501

~1450

—

~1480

Gemini


Gemini 3 Pro achieves state-of-the-art results on reasoning-heavy tests like Humanity’s Last Exam (+11% over GPT-5.1) and multimodal benchmarks (e.g., 6x improvement on ARC-AGI-2 over its predecessor).


The "Safety Tax": Refusal Rates vs. Reasoning Depth


One hidden statistic defining 2025 is the "Refusal Rate"—how often a model declines to answer a complex query due to safety guardrails.

  • GPT-5.1 has adopted a conservative "Safety First" approach. On the SimpleQA Verified benchmark, while it maintains decent accuracy, it has a 12% higher refusal rate on controversial or borderline scientific queries compared to Gemini.

  • Gemini 3 Pro utilizes a new "Contextual Nuance Filter." It is far more willing to engage with theoretical physics, biology, and cybersecurity scenarios (in a safe, educational sandbox) where GPT-5.1 often triggers a standard "I cannot assist with that" response. This openness contributes significantly to its dominance in Humanity’s Last Exam, where nuanced, edge-case reasoning is required.


Under the Hood: Infrastructure Wars


Comparison table of TPU v5e and v6e, detailing performance, compute power, HBM capacity, bandwidth, and interconnect specs.

The performance gap isn't just software; it's hardware.

  • Google is running Gemini 3 Pro on its 6th generation TPUs (Trillium v6), which offer a reported 4.7x improvement in compute-per-watt over the previous v5e chips. This allows Gemini 3 to run its "Deep Think" chain-of-thought processes more cheaply and with lower latency.

  • OpenAI, reliant on Azure’s NVIDIA clusters (H200s and early Blackwell B200s), faces a steeper compute cost. This likely explains the 196k token limit on the standard GPT-5.1 model, compared to Google’s confident 1M token default. The "compute overhang" is currently in Google's favor, allowing them to deploy a larger, more "thoughtful" model for the same inference cost.


Real-World Performance and Use Cases


  • Research & Complex Analysis: Gemini's 1M context + Deep Think crushes long documents and PhD-level science.

  • Creative & Multimodal: Generative UIs produce interactive visuals; superior video/screen understanding makes it the choice for creators.

  • Coding & Development: Antigravity + top agentic scores make it a developer favorite, particularly for full-stack deployment.

  • Everyday Conversation: GPT-5.1's warmer tone and adaptive speed win for casual use and voice mode.

  • Hardware Integration: Gemini 3 Pro is already shipping natively on the Pixel 10 series with on-device capabilities, whereas GPT-5.1 requires an internet connection for full intelligence on Apple's iPhone 17 lineup.

Early feedback on X, Reddit, and developer forums (November 18-19, 2025) shows Gemini pulling ahead for technical users, while GPT-5.1 retains loyalty for seamless, low-latency chat.


Pricing and Ecosystem


ChatGPT plan upgrade options: Free, Plus ($20/month), Team ($25/month). Includes features like GPT access, DALL-E, and data analysis.

Both models offer free tiers with limits:

  • Gemini 3 Pro: Free in Gemini app/Search; full via Google AI Pro/Ultra (~$20/mo).

  • GPT-5.1: Free in ChatGPT; Plus ($20/mo) for higher limits; Pro ($200/mo) unlimited.

Gemini integrates deeply with Google Workspace/Search; GPT-5.1 excels in Microsoft Copilot and third-party apps.


Pros and Cons

Gemini 3 Pro Pros:

  • Dominates reasoning, multimodal, and agentic benchmarks

  • Innovative generative interfaces and Antigravity IDE

  • Massive context (1M) and lower refusal rates on complex topics

Cons:

  • Slightly less "playful" or "warm" in casual chat

  • Newer integrations (generative UI) can still be buggy

GPT-5.1 Pros:

  • Faster and warmer for daily tasks

  • Mature voice mode and adaptive personalities

  • Strong conversational ecosystem

Cons:

  • Trails in latest reasoning/multimodal scores

  • Smaller context window and stricter safety refusals



Frequently Asked Questions  about the Gemini 3 Pro vs ChatGPT 5 


Is Gemini 3 Pro free to use?

Yes, but with limits. You can access Gemini 3 Pro for free in the Gemini app and Google Search "AI Mode," but you will hit message limits quickly (typically after a few complex queries per hour), at which point it reverts to the faster, lighter Gemini 2.5 Flash.

GPT-5.1 Free Tier: Allows ~10 messages every 5 hours before switching to GPT-5.1 Mini.

Which model is better for coding: Gemini 3 Pro or GPT-5.1?

Gemini 3 Pro currently holds the edge. Thanks to its "Antigravity" feature and massive 1M context window, it excels at building entire apps from scratch ("vibe coding") and debugging massive codebases.

  • Gemini 3 Pro: Best for "from scratch" projects and full-stack development.

  • GPT-5.1: Excellent for quick snippets, debugging single files, and Python scripting.

Can Gemini 3 Pro generate images better than DALL-E 3 (GPT-5.1)?

It depends on the goal.

  • Gemini 3 Pro: Uses native multimodal generation. It is superior at creating structured visuals like diagrams, SVGs, interactive charts, and UI layouts (buttons, sliders) directly in the chat.

  • GPT-5.1: Relies on DALL-E 3 integration. It is still generally better for artistic, photorealistic, or creative image generation (e.g., "a cyberpunk city").

What is the difference between "Deep Think" and "Thinking Mode"?

Both features allow the AI to "pause" and reason before answering, but they serve different needs:

  • Gemini "Deep Think": Designed for extreme depth (PhD-level math, scientific theories, complex logic puzzles). It is slower but scores higher on hard benchmarks like Humanity's Last Exam.

  • GPT-5.1 "Thinking": Designed for adaptive speed. It works faster for everyday logic (e.g., travel planning, light math) but may struggle with the hardest academic questions compared to Gemini.

Why does Gemini 3 Pro have a 1M token context window?

The 1M (million) token window allows Gemini 3 Pro to "read" and remember vastly more information at once—roughly 700,000 words or 30,000 lines of code.

  • Use Case: You can upload 50 PDF research papers or a whole video file, and it can answer questions about all of them simultaneously.

  • GPT-5.1: Limited to ~196k-400k tokens, meaning it may "forget" earlier parts of very long conversations or large documents.

Which has a better Voice Mode?

GPT-5.1 is currently the winner for conversation. Its Advanced Voice Mode is warmer, more emotionally expressive, and better at handling interruptions.

  • Gemini Live: Great for connecting to Google Maps/Calendar tasks but can sound slightly more "robotic" and sometimes struggles if you interrupt it mid-sentence.

Conclusion: Gemini 3 Pro Is the New 2025 Leader


As of November 19, 2025, Google's Gemini 3 Pro is the superior frontier model, setting new records across academic reasoning, multimodal understanding, and agentic capabilities. It decisively outperforms GPT-5.1 on the benchmarks that matter most for advanced tasks—often by double-digit margins.

For conversational users, GPT-5.1 remains excellent and more accessible. But for developers, researchers, and power users searching "best AI 2025," Gemini 3 Pro is the clear winner right now.

The race is far from over—OpenAI's next move could shift everything. Test both today: Gemini in the app/Search, ChatGPT for GPT-5.1.

Which model are you using? Share your experiences with AI News Hub below!

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