🥈AI Giants Battle: ChatGPT, Grok 3, DeepSeek V3. We Found the Winner with Detailed 3-Level Test!

Introduction

If you’ve been scrolling through X (Twitter), watching AI YouTube channels, or hanging out in AI Discords lately, you’ve probably seen names like Grok 3 and DeepSeek V3 pop up. People are calling them the next big thing in AI chatbots, competing ChatGPT.

You know, it's funny - just a few years ago, AI chatbots were these clunky tools that could barely hold a conversation. Now? They're everywhere, and they're changing how we work, create, and solve problems every single day. Other than that, we also see new updates every month from major players like Gemini 2.5 Pro and Claude 3.7:

In the past few weeks, we've seen some incredible leaps forward. ChatGPT got a major upgrade with its GPT-4o image generation model, Elon Musk's Grok 3 burst onto the scene with its unique personality, and DeepSeek V3 emerged as a quiet powerhouse for coding and technical tasks.

I've spent weeks testing these tools daily, pushing them to their limits, comparing their strengths and weaknesses. Each has its own "personality," its own approach to solving problems, and its own special capabilities that make it shine in certain situations.

We'll do a practical comparison to help you understand which might be best for different situations. I'll skip the technical jargon and focus on what really matters - how these tools can be useful to you.

By the end of this lesson, you'll have a solid grasp of the current AI landscape and feel confident in choosing which of these powerful assistants might be right for your needs. So let's jump in and explore the exciting world of today's most advanced AI chatbots!

I also want to mention that this is one of the latest lesson in AI Mastery AZ course, one member in AI Fire team created this. It’s the place where we explore all kinds of AI tools on the market and continuously update the list. So feel free to check it out!

I. Why Everyone’s Talking About These AI Tools Right Now

​In March 2025, ChatGPT experienced significant growth in user engagement, reaching approximately 5.2 billion monthly visits because of Ghibli-style trend made by GPT 4o image generation. Meanwhile, ​following the release of Grok 3 in February 2025, X increased its Premium+ subscription price by approximately 82%.

The competition has gotten so intense that we're seeing these companies release small updates every day, major upgrades every few weeks. It's great for us users, but it's also creating a whirlwind of news, updates, and features to keep track of.

But actually, I was amazed most by ChatGPT’s effect. This feature became so popular that it actually caused system crashes due to high demand. The Studio Ghibli-style images trend spread from OpenAI itself to Silicon Valley engineers, governments, and even politicians.

What Makes These Updates Special?

• First, they're much better at understanding what you're asking for. Just a year ago, I'd have to carefully phrase things to get good results. Now, I can type naturally, even with typos or vague requests, and they understand what I mean.

• Second, they're becoming true "multimodal" assistants. That means they can work with text, images, code, and data all at once. ChatGPT gained over one million users in under an hour when this feature launched!

• Third, they're getting much faster. DeepSeek V3 processes 60 tokens per second – that's 3 times faster than its previous version. Grok 3 uses a technique called "test-time compute at scale" to adjust processing power based on question complexity. And ChatGPT's responses feel noticeably snappier with GPT-4o.

II. Grok: An X-Smart Chatbot With Attitude

If you've spent any time on X lately, you've probably heard about Grok. Launched in February 2025, Grok 3 is the latest version of Elon Musk's AI chatbot, and it's making waves for its unique approach and personality.

1. What is Grok 3?

Grok 3 is an AI chatbot developed by xAI, the artificial intelligence company founded by Elon Musk in 2023. The name "Grok" comes from Robert Heinlein's science fiction novel "Stranger in a Strange Land," where it means "to understand something thoroughly and intuitively."

=> You can use it through a separate website or just inside your X account.

Grok 3 'is built on a foundation of advanced AI technology, including a supercomputer called "Colossus" that xAI claims is one of the largest in the world. According to xAI, they installed 100,000 NVIDIA H100 GPUs in just 122 days, then doubled that number to 200,000 GPUs in the following 92 days.

What makes Grok 3 particularly interesting is its deep integration with X. Unlike other AI chatbots, Grok has direct access to real-time information from X, allowing it to stay current on breaking news, trends, and discussions happening on the platform.

2. Grok 3's Personality and Approach

If ChatGPT is like a helpful, polite assistant, then Grok is more like a witty friend who isn't afraid to speak their mind. This personality difference is intentional – Musk has positioned Grok as an alternative to what he sees as overly cautious AI systems.

During Grok 3's launch, Musk and his team emphasized that "the mission of Grok 3 and xAI is to uncover the truths of the universe through relentless curiosity, even if that sometimes means the truth is at odds with what is politically correct."

In my testing, I found that Grok tends to be more direct, occasionally sarcastic, and willing to engage with topics that other AI systems might avoid. It has fewer guardrails against certain types of content, allowing users to generate texts and images with fewer restrictions.

This has led to some creative and controversial uses. X users have deployed Grok to mock political figures (including Musk himself), create deepfakes of celebrities, and manipulate copyrighted material. This freedom comes with obvious ethical concerns, but it's a key part of what makes Grok distinct in the AI landscape.

I also noticed that Grok's responses often have a conversational, sometimes humorous tone. It feels less formal than other AI systems, which can make interactions feel more natural and engaging. However, this style isn't for everyone – some users prefer the more neutral, professional tone of other AI assistants. I’ll show you later

3. Key Features and Capabilities

Grok 3 comes with several specialized modes designed for different types of tasks. Built for complex problem-solving, this mode takes a more methodical approach. It breaks problems down into logical steps, corrects errors through backtracking, and explores multiple approaches.

In terms of performance, Grok 3 has shown impressive results on various benchmarks. It scored 93.3% on the 2025 American Invitational Mathematics Examination (AIME), 84.6% on graduate-level expert reasoning tasks (GPQA), and 79.4% on coding challenges measured by LiveCodeBench.

4. Limitations and Drawbacks

Despite its strengths, Grok 3 isn't perfect. Here are some limitations to be aware of:

• Accuracy Concerns

Grok's willingness to answer almost any question sometimes comes at the cost of accuracy. In my testing, I've found that it occasionally provides confident-sounding but incorrect information, particularly on specialized or technical topics outside its core strengths.

• Ethical Considerations

The reduced guardrails that make Grok unique also raise ethical concerns. Its ability to generate potentially offensive content, deepfakes, or manipulated media could be misused. Users should approach these capabilities responsibly and consider the potential impacts of the content they create.

• Bias and Political Leanings

Some users have reported that Grok's responses sometimes reflect particular political or ideological perspectives. While all AI systems have some degree of bias, Grok's positioning as "anti-woke" has led to criticism that it may lean in certain directions on politically charged topics.

• Availability Limitations

Unlike some competitors, Grok is primarily available through X Premium+ subscriptions or the separate SuperGrok tier. This limits its accessibility compared to systems like ChatGPT, which offers a free tier with substantial capabilities.

III. DeepSeek: A Quiet Genius for Chatting & Coding

While ChatGPT and Grok have dominated headlines in the Western world, there's another AI powerhouse that's been steadily gaining recognition: DeepSeek V3. Released in December 2024 with a significant update in March 2025, this Chinese-developed AI system has been turning heads for its exceptional technical capabilities, particularly in coding.

1. What is DeepSeek V3?

DeepSeek V3 is available through multiple channels: its website, mobile apps for iOS and Android, and an API for developers. What's particularly notable is that DeepSeek has made its models and papers open-source, available on GitHub and Hugging Face under the MIT license.

And it gains that much attention because it’s…Cheap, yes, much cheaper than ChatGPT’s production cost.

The company has built its own data center clusters for model training, though like other Chinese AI companies, it's been affected by US export bans on hardware. To train its models, DeepSeek has had to use Nvidia H800 chips, which are less powerful than the H100 chips available to US companies.

2. Coding Superpowers

If there's one area where DeepSeek V3 truly shines, it's coding. In my experience testing various AI systems, DeepSeek consistently produces higher-quality, more reliable code than most competitors.

The recent DeepSeek V3-0324 update further improved its coding capabilities, with better executability of generated code and more aesthetically refined web pages and game front-ends. It can now generate up to 700 lines of code without errors – an impressive feat that few other AI systems can match.

DeepSeek supports a wide range of programming languages, including Python, JavaScript, Java, C++, and many others. It excels at:

• Writing clean, efficient code from scratch

• Debugging existing code and identifying errors

• Explaining complex programming concepts

• Optimizing code for better performance

• Building complete applications, including front-end interfaces

What makes DeepSeek particularly valuable for coding is its attention to detail and understanding of best practices. It doesn't just generate code that works – it generates code that follows conventions, includes appropriate error handling, and is well-structured.

🎁 BONUS: MORE DETAILED TUTORIALS USING DEEPSEEK

• DeepSeek V3: A Guide With Demo Project

• Deepseek AI in Action: How to Leverage Trending AI Topics for Ebook Sales

• How to Create AI Agents with DeepSeek-V3 for Free

• DeepSeek V3 vs. GPT-4—The AI Battle No One Saw Coming!

• The Step-by-Step AI Strategy That Makes Passive Income on Auto-Pilot

3. Limitations and Considerations

Despite its strengths, DeepSeek V3 has some limitations to be aware of:

• Content Restrictions

Being a Chinese-developed AI, DeepSeek is subject to content restrictions from China's internet regulator. It won't answer questions about certain politically sensitive topics like Tiananmen Square or Taiwan's autonomy. This is an important consideration if you need an AI assistant that can discuss a wide range of political or historical topics.

• Availability Concerns

DeepSeek has faced restrictions in some countries and organizations. It's banned on US government devices, as well as in South Korea and New York state government devices. OpenAI has described DeepSeek as "state-subsidized" and "state-controlled," though DeepSeek disputes these characterizations. These geopolitical tensions may affect DeepSeek's availability and development in the future.

• Less Polished User Experience

Compared to ChatGPT and Grok, DeepSeek's user interface and overall experience can feel less polished. The company has focused more on technical capabilities than on creating a sleek, user-friendly experience. This is improving with each update, but it's still noticeable in comparison to its competitors.

• Specialized Focus

While DeepSeek is versatile, its strengths are clearly in technical areas like coding and mathematics. If you're primarily looking for creative writing, emotional support, or general conversation, other AI assistants might be more suitable.

IV. Quick Comparison Between 3 Latest Tools Update

For this part, I already wrote another detailed comparison about Grok 3 vs. DeepSeek vs. ChatGPT and saw which one is more profitable. You can click on the original post, or just see the below brief:

1. Three Levels of Testing

a. Easy Level: Converting an Indicator into a Strategy

• Gave the AI a common indicator (like Bollinger Bands) and asked it to turn it into a full trading strategy.

• Most AIs should be able to handle this without breaking a sweat. If they couldn’t, they weren’t worth considering.

b. Medium Level: Improving an Existing Strategy

• Provided a strategy and asked the AI to enhance it by adding another indicator.

• The challenge? It had to improve profitability while reducing risk. Simply adding random indicators wasn’t enough.

c. Hard Level: Building a Strategy from Scratch

• Gave minimal guidance—just an idea of what kind of strategy was needed.

• Expected the AI to make its own trading logic, like a real algo trader would.

• This is where most AIs fall apart. If an AI trading model can handle this well, it’s worth paying attention to.

2. Evaluation Criteria

Not every AI that writes code is good for trading. Accuracy, profitability, and efficiency mattered more than anything else.

• Code Accuracy – How often did the AI produce working code without syntax errors or logic flaws?

• Profitability – Did the strategy actually make money over time?

• Ease of Use – How much extra effort was needed to fix mistakes or refine the strategy?

• Cost-Effectiveness – Is it worth paying for Grok 3 when free alternatives exist?

3. Easy Level Test: AI Trading Strategy Creation

The first challenge was turning a simple Bollinger Bands indicator into a trading strategy:

You are a professional PineScript v6 developer.
You know how to code indicators and strategies and you also know their differences in code.
I need your help to turn a TradingView indicator into a strategy please.

When to buy and when to sell:
- Go long when price closes above the upper Bollinger Band.
- Close long when price closed below the lower Bollinger Band.

Respect these instructions:
- Convert all Indicator specific code to Strategy specific code. Don't use any code that a TradingView Strategy won't support. Especially timeframes and gaps. Define those in code so they are semantically the same as before.
- Preserve the timeframe logic if there is one. Fill gaps.
- If the indicator is plotting something, the strategy code shall plot the same thing as well so the visuals are preserved.
- Don't trigger a short. Simply go Long and Flat.
- Always use 100% of capital.
- Set commission to 0.1%.
- Set slippage to 0.
- strategy.commission.percent and strategy.slippage don't exist in PineScript. Please avoid this mistake. Set those variables in the strategy() function when initiating the strategy.
- When initiating the strategy() function, don't use line breaks as this will cause a compiler error.
- Leave all other strategy settings to default values (aka. don't set them at all).
- Never use lookahead_on because that’s cheating. 
- Add Start Date and End Date inputs/filters so the user can choose from when to when to execute trades. Start with 1st January 2018 and go to 31st December 2069.
- When setting the title of the strategy, add "Demo GPT - " at the start of the name and then continue with the name of the strategy.

This is the code of the Indicator you shall migrate to a TradingView Strategy:
//@version=5
indicator(shorttitle="BB", title="Bollinger Bands", overlay=true, timeframe="", timeframe_gaps=true)
length = input.int(20, minval=1)
maType = input.string("SMA", "Basis MA Type", options = ["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"])
src = input(close, title="Source")
mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev")

ma(source, length, _type) =>
    switch _type
        "SMA" => ta.sma(source, length)
        "EMA" => ta.ema(source, length)
        "SMMA (RMA)" => ta.rma(source, length)
        "WMA" => ta.wma(source, length)
        "VWMA" => ta.vwma(source, length)

basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
offset = input.int(0, "Offset", minval = -500, maxval = 500, display = display.data_window)
plot(basis, "Basis", color=#2962FF, offset = offset)
p1 = plot(upper, "Upper", color=#F23645, offset = offset)
p2 = plot(lower, "Lower", color=#089981, offset = offset)
fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))

• ChatGPT (o1): Generated a +1,626% profit, but with a 50% drawdown. Completed 25 trades, with a 44% win rate and a profit factor of 2.39—not bad, but risky.

  

• DeepSeek: Handled the task well, generating a +1,721% profit, but with a 50.22% drawdown. Completed 25 trades, with a 44% win rate and a profit factor of 2.41—similar to ChatGPT (01) but still high risk.

  

• Grok 3: Also produced the same outcome—same profit, same drawdown, no noticeable difference. The only problem? It costs $40/month.

  

=> DeepSeek does the job for free. ChatGPT (01) does it too. Grok 3 just sits in the same lane but with a price tag attached. If the goal is to convert an indicator into a trading strategy, Grok 3 isn’t worth paying for. DeepSeek is the better choice if you want a free AI trading tool that delivers the same performance.

4. Medium Level Test: Adding an Indicator

Modify an existing AI trading strategy, add an indicator, and see if the results improve.

• ChatGPT (o1): Handled the task well, integrating Gaussian Channel + Stochastic RSI smoothly. The strategy produced a +1,895% profit with a 49.92% drawdown, executed 25 trades, and maintained a 44% win rate. The profit factor increased to 2.71, making it a solid performer. However, the drawdown remains high, meaning risk management is still a concern.

  

• DeepSeek: Performed exceptionally well with +2,392% profit, maintaining a 14.13% drawdown, which is significantly lower than ChatGPT (01). It executed 28 trades, with a 42.86% win rate and an impressive 5.869 profit factor—making it the best option so far for balancing profitability and risk.

  

• Grok 3: Generated +2,419.89% profit, with a 14.17% drawdown, executing 26 trades. The 46.15% win rate and 5.357 profit factor are decent. But is it worth $40/month when free alternatives like DeepSeek perform similarly?

  

=> DeepSeek proves, again.

5. Hard Level Test: Minimal Guidance

Asking it to build a full AI trading strategy from scratch without much guidance, is a completely different challenge.

I’d like you to create a PineScript v6 trading strategy based on the Gaussian Channel and add Stochastic RSI to avoid bad trades. I want to be able to copy paste it into TradingView, save it and it runs.
Long only, no shorting. Never use lookahead_on. Always trade with 100% of equity. 0.1% commission. 0 ticks slippage. Start trading on 2018-01-01 until 2069-01-01. Avoid compiler errors. Use only functions that exist and PineScript v6 supports.

• ChatGPT (o1): The only AI that built something usable.

  

• DeepSeek: Barely profitable, not useful. The strategy was weak, and the profit was too low.

  

• Grok 3: Clean code but couldn’t generate real returns.

  

About Pricing Models:

• ChatGPT: Free tier with basic capabilities; ChatGPT Plus: $20/month for GPT-4o access

• Grok: Available through X Premium+: $16/month; SuperGrok subscription (price not disclosed)

• DeepSeek: Free tier with substantial capabilities; competitive API pricing; open-source models available

Don’t Rely on Just the Hype

If you’re looking for an AI trading tool for simple to medium strategies, DeepSeek is free and gets the job done. No complaints there. For harder, more advanced strategies, ChatGPT at $20/month is still the best option. It performs well, adapts better, and outpaces Grok 3 in every way that matters.

When to Choose ChatGPT

• When you need a versatile, general-purpose AI assistant

• For creative writing, content generation, and brainstorming

• When generating or editing images

• If you're new to AI tools and want the easiest experience

• When working with sensitive or complex topics that require nuance

When to Choose Grok 3

• When you need the most up-to-date information

• If you value personality and engagement in your AI assistant

• When you want to see the reasoning process behind answers

• If you're already a regular X user

• When other AI systems seem too cautious or limited

When to Choose DeepSeek V3

• For any coding or programming tasks

• When working on technical documentation

• For mathematical or scientific problem-solving

• If you need the most efficient and cost-effective API

• When you want to run models locally or customize them.