Quick Summary:ChatGPT excels in creativity, content creation, and general-purpose tasks, while Grok 3 is better for technical reasoning, STEM tasks, and real-time data analysis. Choosing the right model depends on your requirements. If you need a model for business analysis and automation, opt ChatGPT, because Grok 3 doesn’t have an API.
Both AI models are powerful but cater to different user needs. Businesses should assess their goals and choose accordingly.
Technical Capabilities
Data and Size Specs
Grok 3 stands out with 2.7 trillion parameters, 12.8 trillion training tokens, and a massive 128,000-token context window[3]. In contrast, ChatGPT, built on GPT and fine-tuned with RLHF [2], keeps its parameter details under wraps but leverages diverse training data.
Specification
Grok 3
ChatGPT 4o
Parameters
2.7 trillion
1.7 trillion
Training Tokens
12.8 trillion
Not disclosed
Context Window
128,000 tokens
128,000 tokens
Computing Power
200,000 GPUs
Not disclosed
Training Data Cutoff
February 2025
2024 (GPT-4o)
These features lay the groundwork for Grok 3's advanced text analysis capabilities.
⚙️ Want to plug Grok-like analysis into your workflow?
Here's how to connect AI reasoning to real data streams and visualize results — no code needed. 👉 Use this scenario →
Text Processing Skills
Grok 3 achieved 93% on AIME '25 and 85% on GPQA[4]. Its 'Think Mode' handles complex scenarios, like the trolley problem, in just 52 seconds [1].
"Grok 3 is an AI model that's causing a buzz in the AI industry. It has impressive generation and reasoning capabilities, which can be useful for a variety of applications." - Niyati Mahale, Content Writer @Writesonic [4]
ChatGPT, on the other hand, excels at tasks requiring creativity and nuanced problem-solving. It maintains context effectively while delivering natural, coherent responses across many fields.
Both models stand out not just for their processing skills but also for their ability to stay current with knowledge.
Grok 3 employs continuous learning, with data updated until February 2025. Its DeepSearch mode scans web content and X posts in real time [3][4]. ChatGPT, by contrast, relies on periodic updates and Bing integration for accessing current information [1].
Grok 3 is also faster, offering 25% quicker responses and 15% greater accuracy in natural language tasks compared to similar models [3]. Ethan Mollick, a Wharton AI professor, remarked:
"I think Grok 3 came in right at expectations... speed is a moat, compute still matters, no obvious secret sauce to making a frontier model if you have talent & chips." [5]
Performance Tests
Test Results
Recent benchmarks highlight key differences in how Grok 3 and ChatGPT handle specialized tasks. Grok 3 scored 93.3% accuracy on AIME 2025 mathematical assessments and 84.6% on GPQA science evaluations[1].
Task Category
Grok 3
ChatGPT
Performance Gap
Mathematics (AIME 2025)
93.3%
Not disclosed
–
Science (GPQA)
84.6%
Not disclosed
–
Coding (LiveCodeBench)
79.4%
72.9%
+6.5%
Code Generation Speed
0.8s
1.0s
1.2x faster
Debug Session Efficiency
+30%
Baseline
Noticeable boost
Software developers using Grok 3 for code analysis report a 30% improvement in workflow efficiency[7]. These benchmarks provide a foundation for understanding how each model excels in specific tasks.
Task Performance Analysis
The performance data highlights how these models can impact business automation and workflow processes. Grok 3's "Think Mode" stands out in tackling complex analytical tasks, though it does require more processing time.
Code Generation and Analysis: Grok 3 achieves an average response time of 0.8 seconds for code generation, resolving complex programming challenges 15% more effectively compared to earlier benchmarks[7]. Its optimized transformer architecture processes longer sequences more efficiently.
Real-time Data Processing: While ChatGPT shines in creative and general-purpose tasks, Grok 3's DeepSearch capability is better suited for analyzing current data. This makes it especially useful for professionals in research and engineering[7].
These results suggest that while both models are highly capable, their strengths align with different types of tasks and levels of complexity.
ChatGPT's plugin system allows direct connections with external tools, such as DALL-E 3 for image generation, enabling expanded functionality through third-party services [6]. This setup supports smoother workflows and adds versatility to operations [1].
The platform offers two distinct modes:
Mode
Primary Function
Best Use Case
Search Mode
Web browsing and information gathering
Research and content development
Reason Mode
Structured problem-solving
Complex decision-making and analysis
On the other hand, Grok 3 provides its own modes tailored for technical and data-heavy tasks.
Grok 3 includes three advanced modes designed for specific needs [1]:
Think Mode: Offers detailed, step-by-step reasoning, ideal for STEM professionals who need clear problem-solving methods.
Big Brain Mode: Utilizes more computational power to tackle complex analytical problems.
DeepSearch: Conducts real-time web and X platform searches, gathering current information and user-generated content.
Grok 3 can analyze X user profiles, posts, and various file types like PDFs and images, while simultaneously pulling contextual data from both the web and the X platform.
Setup Options
Both platforms provide customization options to meet enterprise requirements. Grok AI focuses on business-specific needs with robust integration capabilities [8]:
These integrations help streamline tasks such as customer service automation and financial reporting [8]. While ChatGPT offers integration through its Enterprise plan, Grok AI provides broader API customization, making it easier to embed AI into existing systems [8].
For developers, Grok AI's VS Code integration improves coding workflows and supports standard API protocols for seamless application integration [7]. This makes it a strong choice for organizations needing tailored technical solutions without disrupting existing processes.
Remember: having the right tool at the right time can mean the difference between insight and overload, iteration and inertia.
Latenode can help with that. With native support for real-time AI integration, dynamic branching, and human-in-the-loop decisions, our low-code platform helps teams turn model output into immediate, actionable workflows — without writing a single line of code.
sbb-itb-23997f1
Is Grok 3 Worth it? My Honest Review & Comparison to ChatGPT
Usage and Costs
Let’s dive into the practical aspects of using ChatGPT and Grok 3, focusing on their interfaces, pricing, and access methods.
User Interface
ChatGPT keeps things simple with a clean design that supports natural, conversational interactions. Within just five days of its launch, it attracted 1 million users [11].
"What ChatGPT shows us is that products that have a simple UI, a small learning curve, and playful discovery features can create an intuitive, frictionless experience for users" [11].
Grok 3, on the other hand, offers three interaction modes - Think, Big Brain, and DeepSearch - each designed for specific tasks [1]. While this setup provides more control, users need to invest time in learning how to navigate these modes.
Price Comparison
The two platforms have very different pricing models:
Plan Type
ChatGPT
Grok 3
Free Tier
Available
Available
Basic Paid
Plus: $20/month
SuperGrok: $30/month
Advanced
Pro: $200/month
X Premium+: $40/month
Team/Enterprise
$25-30/user/month
Not available
Enterprise
Custom pricing
Not available
While ChatGPT offers a free tier and a range of paid plans, Grok 3 lacks a free option and has fewer pricing tiers.
Access Methods
ChatGPT is available across multiple platforms, including a web interface, mobile apps for iOS and Android, and API integration. Its Enterprise plan adds features like higher message limits, a larger context window, enhanced security, and dedicated account management [6][9]. The Team plan also includes collaborative tools like an admin console and unified billing [9].
Grok 3 is mostly tied to the X platform. Users can access it through the X Premium+ subscription ($40/month) or the SuperGrok subscription ($30/month) [10]. While xAI has announced plans to introduce API access for developers [12], it currently offers fewer integration options compared to ChatGPT’s ecosystem.
Latenode allows you to integrate all the best AI models without API to code setup to automate things like communication, content, and data analysis. Best of all, you can integrate your favorite tools with our no-code editor. Why not start exploring our 300+ integrations?Check them out to learn where and how to get started!
Final Analysis
Main Differences
ChatGPT stands out for its ability to handle creative tasks, bolstered by features like DALL·E 3 integration and broad accessibility options [1]. On the other hand, Grok 3 excels in technical performance, particularly in STEM-related applications, where it consistently achieves higher benchmarks [1]. These differences make each model suitable for specific scenarios, depending on user needs.
Best Uses
Matching the strengths of each model to user needs helps clarify their ideal applications:
User Type
Recommended Model
Key Benefits
STEM Professionals
Grok 3
Strong technical reasoning, real-time data access, 79.4% LiveCodeBench performance [1]
Content Creators
ChatGPT
Flexible content creation, DALL·E 3 integration, extensive API options [1]
Business Users
ChatGPT
Cost-efficient automation, reducing expenses by 30–40% [13]
Data Analysts
Grok 3
Advanced DeepSearch mode, real-time X data integration [1]
For instance, ChatGPT's API can cut support team costs by over $10,000 per month through automated ticket handling [13]. Meanwhile, Grok 3 shines in research-heavy tasks and real-time data analysis thanks to its specialized modes [1].
By the way, your support team can build a chatbot on Latenode using ChatGPT and Google Sheets. The coolest part is that it actually remembers previous conversations and gives smart, context aware answers! Check out our free template to get started!
Next Steps
Given these distinctions, businesses should choose a model based on their operational priorities. The AI field continues to evolve rapidly, offering exciting advancements for both platforms. Andrej Karpathy, former Director of AI at Tesla, remarked that Grok 3 "feels somewhere around the state of the art territory of OpenAI's strongest models (o1-pro, $200/month), and slightly better than DeepSeek-R1 and Gemini 2.0 Flash Thinking" [5].
Key factors to evaluate include:
Infrastructure needs and API expenses
Compatibility with current systems
Specific use cases (technical vs. creative)
Budget limitations and potential ROI
This competitive environment fuels ongoing improvements, with both platforms likely to expand their capabilities while maintaining their individual strengths.
✳️ Once you’ve assessed these criteria, the next step is action:
👉 Try building your own scenario using ChatGPT, Grok-like logic, or Gemini — all in one flow, with human-in-the-loop support. Start your 14-day free trial on Latenode →