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Gemini vs ChatGPT: Which Chatbot Should You Choose in 2025/2026?
Last Updated:
Nov 22, 2025

Gemini vs ChatGPT: Which Chatbot Should You Choose in 2025/2026?

New day, new flagship AI model!

Google launched Gemini 3 Pro on November 18, just days after OpenAI updated its flagship model with ChatGPT 5.1.

  • Gemini 3 is already available on Overchat AI, and you can test the new model here.
  • Meanwhile, you can chat with GPT 5.1 here.

If you’re wondering which chatbot would be better as your main workhorse AI assistant, this article will compare Gemini vs ChatGPT. We'll look at their benchmarks, features, pricing, and real-world performance to help you decide.

Also read: Grok vs ChatGPT

What is Google Gemini?

Gemini is Google's response to ChatGPT: an AI-powered chatbot and family of large language models with the same name.

The latest model, Gemini 3 Pro, launched on November 18, 2025. It features native multimodal understanding and a massive 1 million-token context window. Gemini 3 is the first Google model to claim the #1 spot on Artificial Analysis.

Gemini integrates directly into Google's ecosystem, including Search, Workspace, and developer platforms like Vertex AI.

What is ChatGPT?

ChatGPT is OpenAI's conversational AI that launched in November 2022 and quickly became the fastest-growing consumer application in history.

Built on the GPT (Generative Pre-trained Transformer) architecture, ChatGPT uses transformer-based neural networks trained on massive amounts of text data. The latest model, GPT-5.1, was released on November 12, 2025. This version emphasizes a warmer, more natural personality.

ChatGPT quickly became the industry standard for AI chatbots. It's used by millions of people daily for everything from writing emails to debugging code to analyzing business data.

Gemini vs ChatGPT Comparison Table

Feature ChatGPT (GPT-5.1) Gemini 3 Pro
Model Power ⭐⭐⭐⭐⭐ Top-tier across all tasks ⭐⭐⭐⭐⭐ Leading in reasoning and multimodal
Reasoning Mode ✅ Yes (GPT-5.1 Thinking) ✅ Yes (Deep Think, coming soon)
Context Window Standard (exact size not specified) ✅ 1 million tokens input, 64k output
Web Search ✅ Yes ✅ Yes, plus Google Search integration
Research Mode ✅ Deep Research ✅ Advanced search capabilities
Image Generation ✅ GPT Image 1, Sora 2 for video ❌ Not available
Voice Mode ✅ Web and mobile apps ✅ Available
Multimodal Support ✅ Images and documents ✅ Text, images, video, audio natively
Custom Versions ✅ Custom GPTs ❌ Not available
Canvas/Workspace ✅ Yes ❌ Not available
Developer Platforms ✅ API, plugins, integrations ✅ Google AI Studio, Vertex AI, CLI
Third-Party Integrations ✅ Extensive (Zapier, GitHub, etc.) ✅ Cursor, GitHub, JetBrains, Replit, more
Agentic Capabilities ⚠️ Limited ✅ Client and server-side bash tools
Free Plan ✅ GPT-5 with limits ✅ Available in Google AI Studio
Paid Plan Price $20/month (Plus), $200/month (Pro) $20/month (Advanced via Google One)

As you can see, both models offer similar core capabilities. ChatGPT has more user-facing features like Canvas and Custom GPTs, while Gemini has larger context window size and improved native multimodal processing.

One thing in Gemini's favor, though, is its integration with Google products like Gmail and Docs. ChatGPT, on the other hand, is more of a self-contained ecosystem. Which is better depends on your preference. It's similar to the Android vs. iPhone situation.

Model Overview: What Powers Each Chatbot

Now that we have a good understanding of the features available in each chatbot, let’s discuss the models that power them.

Both OpenAI and Google DeepMind have powerful models that differ based on pricing tiers and use cases.

Google Gemini Models

Gemini 3 Pro is Google’s newest and most intelligent model. It features a 1 million-token input context window and can output up to 64,000 tokens — giving it extraordinary capacity for handling long documents and complex tasks.

At the time of writing, two Gemini 3 models were announced:

  • The base Gemini 3 Pro 
  • Gemini 3 Deep Think, a deep reasoning model built on top of the base one, which will roll out to Google AI Ultra subscribers in the coming weeks.

If past releases are anything to go by, Google will likely also release Gemini 3 Flash, a faster model optimized for everyday tasks. Then there is Nano Banana 2 — an image-generation component, which many say is the best AI Image generator in the world (at the time of writing).

Try Nano Banana 2 in Overchat AI.

OpenAI Models

OpenAI released GPT-5 in August 2025, calling it their most advanced model yet. Three months later, on November 12, 2025, they upgraded to GPT-5.1 — the model currently powering ChatGPT.

GPT-5.1 comes in two variants:

  • GPT-5.1 Instant handles everyday tasks with a balance of speed and intelligence. It's warmer, more conversational, and better at following instructions than GPT-5. OpenAI made this the default model for most users.
  • GPT-5.1 Thinking tackles complex problems that require deeper reasoning. It adapts its thinking time based on the complexity of your question—spending more time on difficult tasks and less on simple ones.‍

Behind the scenes, GPT-5.1 uses adaptive reasoning. This means the model automatically decides how much "thinking" each task requires, making it both faster and more accurate than previous versions.

Other notable OpenAI models include GPT-4.1 for coding, o3 and o4-mini for reasoning, and GPT-4.5 for writing. Although these models are now obsolete, you may still encounter them in various APIs.

Spoiler: Gemini 3 beats GPT 5.1 in benchmarks. Additionally, it has a 1 million-token context window and its ability to understand images and videos is better, so we’ll give it a win in this category.

Winner: Gemini

Gemini vs ChatGPT Benchmarks

Benchmarks give us concrete data to compare raw performance. Here's how the models stack up across key evaluation categories:

Coding

Benchmark GPT-5.1 Gemini 3 Pro What It Measures
SWE-bench Verified 76.3% 76.2% Real-world GitHub issue resolution
WebDev Arena 1472 Elo 1487 Elo Web development tasks

Math

Benchmark GPT-5.1 Gemini 3 Pro What It Measures
AIME 2025 (no tools) 94.6% 95.0% High school math competition

General Reasoning

Benchmark GPT-5.1 Gemini 3 Pro What It Measures
GPQA Diamond 89.4% 91.9% PhD-level scientific questions

Overall, Artificial Analysis gave Gemini 3 Pro a score of 73, which put it in first place as the best AI model in the world (it won in 5 out of 10 evaluations). This is the first time a Google model has claimed the top spot.

Meanwhile, LMArena's leaderboard shows Gemini 3 Pro at 1501 Elo — the first model to cross 1500 — though GPT-5.1's scores on this specific benchmark aren't yet available.

Another thing worth considering is that the above are base model results. When Deep Think mode is enabled, Gemini's performance jumps significantly:

  • Humanity's Last Exam: 37.5% → 41.0%
  • GPQA Diamond: 91.9% → 93.8%
  • ARC-AGI-2: 31.1% → 45.1%

This would only make the gap between GPT 5.1 and Gemini 3 wider. 

Winner: Gemini

That being said, keep in mind that benchmarks don't always translate directly to real-world performance. A model with lower scores but better prompting can outperform a higher-scoring model with poor instructions.

Additionally, GPT 5.1 is an update to GPT 5, whereas Gemini 3 represents a new generation. A more fair comparison would be between Gemini 3 and GPT 6, which is expected to be released sometime in early 2026.

Gemini vs. ChatGPT Features

While Gemini may beat ChatGPT when it comes to benchmarks, features are where ChatGPT really starts to stand its ground.

Naturally, being flagship services, both cover the fundamentals you'd expect from modern AI chatbots, but they approach their platforms with starkly different philosophies That being said, both chatbots include:

  • Web search
  • File uploads
  • Voice modes
  • Multimodal support

However, when you examine the specifics, the difference between Gemini and ChatGPT is like comparing an Android phone to an iPhone — ChatGPT is the iPhone. It's not that it's better; rather, it's developing its own closed ecosystem, with the Atlas browser, and all.

Features that Both Chatbots Have

Web search. Both can search the web to answer current questions. Gemini has a significant advantage here—it integrates directly with Google Search and uses query fan-out techniques to perform multiple nuanced searches simultaneously.

Research modes. ChatGPT calls it "Deep Research." Gemini offers advanced search capabilities with intelligent routing that sends challenging questions to Gemini 3 while using faster models for simpler tasks.

Multimodal support. Both models can accept files, analyze images, and summarize documents. Gemini processes text, images, video, and audio natively with superior document understanding beyond simple OCR.

Voice modes. Both let you talk to the AI and get spoken responses. ChatGPT's voice mode works on web and mobile. Gemini's voice capabilities are also available across platforms.

Image and video generation. On the GPT side, GPT Image 1 creates images, while Sora 2 generates videos. On the Gemini side, Nano Banana creates images, and Veo 3.1 — videos.

Features Only ChatGPT Has

Canvas. This is a Google Docs-style interface for collaborating on writing and coding projects. You can work alongside ChatGPT, making edits in real-time while the AI suggests improvements.

Custom GPTs. Create specialized versions of ChatGPT for specific tasks, each with their own knowledge context and instructions.

Scheduled tasks. Tell ChatGPT to run tasks at specific times. The feature is still basic, but it's a step toward AI automation that Gemini doesn't currently match.

Projects. Upload knowledge sources, organize chats by topic, and keep different workstreams separate.

Features Only Gemini Has

Vibe Coding as-a-feature. Google took vibe coding to the next level with Antigravity — an IDE created around vibe coding at core. You can create complete AI-powered applications from single prompts. Generate entire apps with rich visualizations and interactive elements from natural language descriptions.

Generative UI in Search. Creates dynamic visual layouts with interactive tools and simulations generated specifically for user queries, like physics simulations or custom mortgage calculators.

Native multimodal processing. Unlike ChatGPT's sequential processing, Gemini understands text, images, video, and audio simultaneously within its architecture.

Massive context window. 1 million tokens for input means you can feed Gemini entire codebases, long documents, or extensive conversation histories.

Integration with Google apps. Gemini 3 is built into Gmail, Google Docs, Google Sheets, Google Analytics, you name it. Meanwhile, The only way to use ChatGPT in these apps is by using plugins or extensions.

The Verdict

Arguably, ChatGPT has more UI polish, though Gemiin isn’t far behind in this regard, if at all. In ChatGPT, tools like Canvas, Custom GPTs, and Projects give you many ways to customize your AI experience.

On the other hand, Gemini is more advanced, can understand media better, and integrates natively with Google’s productivity apps. 

For creators, Gemini is better at working with images, but OpenAI’s video generator (Sora 2) is better than Google’s video generator (Veo 3.1).

When it comes to coding, Gemini is a lot better than ChatGPT.

Winner: Gemini

ChatGPT vs Gemini Pricing

Both chatbots offer free tiers and multiple paid options. Here's how the pricing structures compare:

Tier ChatGPT Price Gemini Price
Free GPT-5 with limits, web search, voice mode, file uploads $0 Available in Google AI Studio with rate limits $0
Basic ChatGPT Plus: Extended GPT-5.1 access, Canvas, Custom GPTs, Projects $20/month Gemini Advanced (via Google One): Priority access, extended capabilities $20/month
Premium ChatGPT Pro: Unlimited GPT-5, GPT-5 Pro mode, 125 Deep Research uses, Sora Pro $200/month Google AI Ultra: Premium tier (gets Deep Think access first) $249.99/month

For developers building applications, here's how the API costs compare:

ChatGPT API:

  • GPT-5.1: $2.50 input / $10 output per million tokens

Gemini API (via Google AI Studio & Vertex AI):

  • Under 200k tokens: $2.00 input / $12.00 output per million tokens
  • Over 200k tokens: $4.00 input / $18.00 output per million tokens

Gemini's API pricing is slightly cheaper for smaller contexts but becomes more expensive for large contexts above 200k tokens.

One thing to note is that, as flagged by Artificial Analysis, Gemini 3 Pro costs 12% more to run than Gemini 2.5 Pro. This goes against the trend, as most newer flagship models tend to be cheaper to run than their previous generations because developers try to optimize costs.

For example, ChatGPT dynamically switches between Thinking and Standard modes to reduce costs and increase speed.

Winner: Draw

Gemini vs ChatGPT: Real-World Comparison

For this test, we asked Gemini 3 Pro and ChatGPT 5.1 to complete a series of real-world tasks. Here's how each model performed in practical scenarios.

To keep things fair, we’ve tested both models in Overchat AI.

Writing

For creative writing, we tested narrative quality—a common challenge area for AI models. We gave each model the following prompt:

Write the opening paragraph (150-200 words) of a sci-fi short story about a botanist who discovers that plants on a Mars colony are developing consciousness. The tone should be contemplative and slightly unsettling. Focus on sensory details and the character's internal reaction.”

The result:

Google Gemini vs ChatGPT writing

A few thoughts:

  • Gemini 3 produced text filled with typical AI phrases. Almost all of the common culprits, such as "it wasn't just an X, it was an Y," made an appearance.
  • This may not be surprising, as GPT 5.1 was optimized for emotional depth and sounding warm. In contrast, Gemini is more analytical and geared toward coding and development. Nevertheless, we expected more from Google’s flagship model.

If you primarily need an AI writing assistant, steer clear of Gemini 3 Pro.

Winner: ChatGPT

Math

We gave the models a typical calculus problem from a university-level course (Calculus I or II). It tests understanding of derivatives, critical points, and practical application of optimization:

“A cylindrical can is to be designed to hold 1000 cubic centimeters of liquid. The material for the top and bottom costs $0.05 per square centimeter, and the material for the side costs $0.03 per square centimeter. Find the dimensions (radius and height) that minimize the total cost of materials.”

The problem required:

  1. Setting up the cost function
  2. Finding the constraint equation
  3. Taking derivatives
  4. Solving for critical points
  5. Verifying the answer is a minimum

The correct answer is radius ≈ 4.57 cm, height ≈ 15.2 cm.

The result:

Google Gemini vs ChatGPT, which is better for math

Both models had absolutely no issue here. If anything, Gemini solved the problem twice as fast. You can safely use both models for university-level mathematics.

Winner: Draw

Coding

Can GPT-5.1 build a fully functioning task tracker app, or will Gemini 3 Pro create a more polished version? This is interesting  especially because GPT-5 was praised for its coding abilities. However, Gemini 3 Pro is a model that was primarily built with coding in mind.

That being said, front-end development is typically challenging for all AI models, so we tested both on this type of task. Our prompt:

Build a simple task manager web app using HTML, CSS, and JavaScript (vanilla JS, no frameworks). The app should:

  • Allow users to add new tasks with a text input and button
  • Display all tasks in a list
  • Let users mark tasks as complete (with a checkbox or button)
  • Allow users to delete tasks
  • Show a count of remaining in
  • complete tasks
  • Save tasks to localStorage so they persist after page refresh

Create this as a single HTML file with inline CSS and JavaScript. Make it visually clean and user-friendly.

The result:

Gemini vs ChatGPT, which is the best for coding

Both models produced fully functioning apps, and both of them do exactly what we described in the prompt.

That being said, both chatbots played it extremely safe in terms of design. This is something that can easily be improved with the right prompting techniques. However, we wanted to see how each model would perform in the absence of design instructions. Both models chose to create the simplest version of the app.

Winner: Draw

Bottom Line

In conclusion, we've tallied up the performance across all categories, and here are the final results:

Gemini has 4 wins in:

  • Models and technical capabilities
  • Benchmarks
  • Features
  • Agentic multi-step tasks

ChatGPT has 1 win in:

  • Creative writing

Gemini and ChatGPT have 3 draws in:

  • Math
  • Coding
  • Pricing

By direct comparison, Gemini 3 Pro is much better than chatGPT. It’s a more advanced AI, shows stronger performance in the benchmarks, and has better productivity features, thanks to its integration with Google Apps and Search.

This makes sense — Gemini 3 is a newer generation AI model, while GPT 5.1 is mid-lifecycle refresh. It’s a bit like comparing Playstation 6 with Xbox One X.

Overall winner: Gemini 3 Pro

That being said, don’t sleep on ChatGPT either, especially if you’re looking for a chatbot for writing tasks, or just to talk to, in general.

Can't decide which one to use? What if you didn't have to? With Overchat AI, you can use both models for just $4.99 per week, saving you over $40 per month compared to paying for both subscriptions separately.

Frequently Asked Questions (FAQ)

Which AI is better: Gemini vs ChatGPT?

Gemini 3 Pro is currently better overall, winning in benchmarks, features, and technical capabilities. It scored 73 on Artificial Analysis — first place for Google. However, ChatGPT 5.1 is better for creative writing with its warmer, more conversational tone.

How much does Gemini cost compared to ChatGPT?

Both models are included in your Overchat AI Pro subscription for just $4.99/month. When purchased separately on their respective platforms, both cost $20/month for their basic paid tiers. ChatGPT Plus includes Canvas, Custom GPTs, and Projects. Gemini Advanced (via Google One) offers priority access and Google ecosystem integration. Premium tiers: ChatGPT Pro is $200/month, Google AI Ultra is $249.99/month. 

Where to access Gemini 3 Pro?

You can access Gemini 3 Pro through Overchat AI, Google AI Studio, the Gemini app, Google Workspace apps (Gmail, Docs, Sheets), or third-party platforms like Overchat AI. It's also available via API through Google AI Studio and Vertex AI for developers.

Is Google Gemini free?

Yes, Gemini is available for free in Overchat AI and Google AI Studio with usage limits. You can also access it through Overchat AI. For unlimited access and premium features, you'll need Overchat AI Pro ($4.99/week), Gemini Advanced ($20/month) or Google AI Ultra ($249.99/month).

Is ChatGPT or Gemini better for coding?

Gemini 3 Pro is better for coding. It scored 1487 Elo on WebDev Arena (top of the leaderboard) and was primarily built with coding in mind. It features bash tools for system operations and Vibe coding for creating complete apps from prompts.