Grok 3 vs. o1: Which AI Model is Better?

Artificial Intelligence (AI) continues to evolve at a rapid pace, with new models pushing the boundaries of what machines can achieve. Two notable contenders in this arena are xAI‘s Grok 3 and OpenAI‘s o1. Both have garnered attention for their advanced capabilities, but how do they compare? This article delves into their features, performance, accessibility, and applications to determine which model stands out.

What is Grok 3 and o1?

Launched in February 2025, Grok 3 is the latest AI model from Elon Musk’s company, xAI. It boasts ten times the computing power of its predecessor, Grok 2, and is designed to excel in mathematics, coding, and scientific reasoning. Grok 3 operates on the Colossus supercomputer, utilizing 100,000 Nvidia H100 GPUs and accumulating 200 million GPU-hours for training. This immense computational capacity enables it to handle massive datasets with remarkable speed and accuracy.

What is Grok 3 and o1?

OpenAI introduced o1 in September 2024 as its first model with enhanced “reasoning” abilities. Unlike earlier models that relied heavily on pattern recognition, o1 employs reinforcement learning and processes queries step-by-step, mimicking human reasoning. It is particularly adept at solving complex questions, especially in coding and mathematics. However, it still faces challenges with factual knowledge and occasional hallucinations.

Quick Comparison Table

Feature	ChatGPT o1	Grok 3
Strength	Complex reasoning, content creation	Real-time data, enterprise integration
Best Use Case	General business tasks	Enterprise automation, STEM tasks
Data Access	Pre-trained data	Real-time information
Pricing	$20/month (Plus), $200/month (Pro)	$40/month (X Premium+)
Customer Support	Structured queries	Real-time updates
Input Context Window	1M	200K
Maximum Output Tokens	128K	100K
Open Source	No	No
When the model was first released.	September 2024	February 2025

How Do Their Features Compare?

Computational Power and Architecture

Grok 3’s architecture is built upon the Colossus supercomputer, featuring a 1.8 trillion parameter model. This setup allows it to process complex prompts and large documents efficiently. In contrast, o1 is designed with a 16K token context window and focuses on analytical tasks. Its Pro variant extends this to a 128K token context window, enhancing its enterprise applications.

Performance Benchmarks

In benchmark tests, Grok 3 has demonstrated superior performance in STEM fields. It scored 93.3% on the 2025 AIME mathematics benchmark and reached the 94th percentile on the GPQA science test. On the other hand, o1 Pro boasts a 98% accuracy rate and a response speed of 95ms, making it suitable for enterprise-level tasks.

Unique Features

Grok 3 introduces “DeepSearch,” an AI agent that compiles concise reports from multiple sources, enhancing its research capabilities. It also offers a “Think” mode, allowing real-time answer refinement. o1 focuses on step-by-step reasoning, which aids in complex problem-solving scenarios.

How to Access Grok 3 and o1

Accessing Grok 3

Initially, Grok 3 was available to X (formerly Twitter) Premium+ subscribers. However, xAI has made it temporarily free to use until server capacity is reached. Users can access it via the Grok website or through the Grok app available on iOS.

Accessing o1

OpenAI’s o1 model is accessible through their API platform. Users can choose between the standard o1 model and the o1 Pro variant, depending on their needs. Pricing varies, with o1 Pro being more expensive due to its enhanced capabilities.

How to Use These AI Models

Utilizing Grok 3

Grok 3 can be employed for a variety of tasks, including:

• Mathematical Problem Solving: Its high accuracy in mathematics makes it suitable for complex calculations and theorem proving.
• Coding Assistance: Developers can leverage Grok 3 for code generation, debugging, and optimization.
• Scientific Research: With its strong performance in science benchmarks, Grok 3 can assist in data analysis and hypothesis testing.

The “DeepSearch” feature allows users to gather information from multiple sources, making it valuable for research purposes.

Utilizing o1

o1 is particularly effective for:

• Analytical Tasks: Its step-by-step reasoning is beneficial for tasks requiring logical analysis.
• Coding and Mathematics: o1 excels in these areas, providing solutions and explanations for complex problems.
• Enterprise Applications: The Pro variant’s speed and accuracy make it suitable for large-scale business operations.

Users can interact with o1 through OpenAI’s API, integrating it into their applications as needed.

Which Model Suits Your Needs?

Choosing between Grok 3 and o1 depends on specific requirements:

• For Advanced Research and STEM Applications: Grok 3’s superior performance in mathematics and science, along with features like DeepSearch, make it a strong candidate.
• For Enterprise-Level Tasks and Speed: o1 Pro’s high accuracy and rapid response time are advantageous for business applications.
• For General Analytical Tasks: Both models offer robust reasoning capabilities, but o1’s step-by-step approach may be preferable for logical analysis.

It’s essential to consider factors such as computational resources, budget, and specific use cases when making a decision.

The Future of AI Models

The competition between Grok 3 and o1 reflects the rapid advancements in AI technology. Both models have introduced innovative features aimed at enhancing reasoning capabilities, but they also face challenges that highlight the complexities of achieving true artificial general intelligence (AGI).

Challenges in Achieving AGI

Despite their advancements, both Grok 3 and o1 encounter limitations in their reasoning abilities. For instance, o1 has demonstrated improved problem-solving skills through step-by-step reasoning, yet it still struggles with factual knowledge and can produce hallucinations. Similarly, Grok 3, while excelling in various benchmarks, requires substantial computational resources and may not consistently deliver accurate responses without significant processing time.

These challenges underscore the ongoing debate in the AI community regarding the true intelligence of modern AI models. Some experts argue that current models lack genuine reasoning and adaptability, emphasizing the need for objective evaluations to assess AI capabilities accurately.

Future Directions

To address these challenges, AI developers are exploring new approaches to enhance model reasoning without exponentially increasing computational requirements. OpenAI, for example, is focusing on step-by-step problem-solving methods to improve reasoning capabilities, aiming to complement the scaling paradigm used in models like GPT-4.

Additionally, the industry is considering the development of “super agents” capable of performing complex tasks autonomously. However, concerns arise over whether sufficient computing power exists to support this transformation, as these advanced agents generate significantly more tokens per user query, requiring far greater computational resources.

Use o1 API and Grok 3 API in CometAPI

CometAPI offer a price far lower than the official price to help you integrate O1 Preview API (model name: o1-preview ;o1-preview-2024-09-12 ; o1-mini; o1-mini-2024-09-12 ; o1-2024-12-17) and Grok 3 API (model name: grok-3; grok-3-reasoner; grok-3-deepsearch), and you will get $1 in your account after registering and logging in! Welcome to register and experience CometAPI.

CometAPI acts as a centralized hub for APIs of several leading AI models, eliminating the need to engage with multiple API providers separately.

Please refer to O1 Preview API and Grok 3 API for integration details.

Pricing in CometAPI is structured as follows:

Category	o1 API	Grok 3
API Pricing	o1-preview; o1-preview-2024-09-12 ; o1-2024-12-17 Input Tokens: $12 / M tokens Output Tokens: $48 / M tokens o1-mini; o1-mini-2024-09-12 Input Tokens: $0.88 / M tokens Output Tokens: $3.52 / M tokens	Input Tokens: $1.6 / M tokens Output Tokens: $6.4 / M tokens

Conclusion

In the dynamic landscape of AI, Grok 3 and o1 represent significant strides toward more sophisticated and capable models. Each offers unique strengths and faces distinct challenges, reflecting the multifaceted nature of AI development. As research continues to address current limitations and explore new methodologies, the future holds promising potential for AI models that more closely emulate human reasoning and adaptability.