Grok 4

Grok-4 is the most advanced language model from xAI, which was announced on July 9, 2025. This model uses xAI's sixth-generation foundation technology with major improvements in reasoning and computation power. Grok 4 is the flagship model by xAI, announced on July 10, 2025. It introduces: First-principles reasoning: Improved logical consistency and deeper analytical capabilities. Comprehensive multimodal support: Initially supporting text, with vision and image-generation features expected soon.

The model brings significant changes compared to previous Grok versions. Built on version 6 of xAI's foundation model, it uses 100x more training compute than Grok 2 and 10x more reinforcement learning compute than Grok 3. The model achieves PhD-level performance across all academic disciplines simultaneously, scoring perfect on standardized tests like the SAT

This analysis covers comparisons with other xAI models (same provider) and major competitor models from different companies (cross-provider). The methodology uses benchmark scores, pricing data, and technical specifications that are publicly available from testing organizations and official documentation.

Model Specifications

Grok-4 vs Grok-3

Grok-4 represents a major upgrade from Grok-3 with much better computational resources and reasoning capabilities. This comparison shows the basic technical differences between xAI's current flagship models.

Performance Benchmarks for Grok-4

These benchmarks measure language understanding, mathematical reasoning, and general intelligence of Grok-4 compared to Grok-3.

Pricing Comparison for Grok-4

This comparison shows the cost structure between Grok-4 and earlier xAI models.

API Integration Examples for Grok-4

These examples show how to use xAI's API for both models with similar request formats.

# Grok-4 Example
import requests

headers = {
    'Authorization': 'Bearer YOUR_XAI_API_KEY',
    'Content-Type': 'application/json'
}

data = {
    'model': 'grok-4',
    'messages': [
        {'role': 'user', 'content': 'Explain quantum computing'}
    ],
    'max_tokens': 1000
}

response = requests.post('https://api.x.ai/v1/chat/completions', 
                        headers=headers, json=data)

# Grok-3 Example
import requests

headers = {
    'Authorization': 'Bearer YOUR_XAI_API_KEY',
    'Content-Type': 'application/json'
}

data = {
    'model': 'grok-3',
    'messages': [
        {'role': 'user', 'content': 'Explain quantum computing'}
    ],
    'max_tokens': 1000
}

response = requests.post('https://api.x.ai/v1/chat/completions', 
                        headers=headers, json=data)

Grok-4 vs Grok-2

Grok-4 shows massive improvements over Grok-2 with 100x more training compute power.

Technical Specifications Comparison of Grok-4

This comparison shows the technical capabilities between Grok-4 and the earlier Grok-2 model.

Performance Benchmarks for Grok-4

These benchmarks show the significant performance improvements between Grok-4 and Grok-2.

Cross-Provider Comparisons

Grok-4 vs GPT-4

This comparison looks at xAI's flagship model against OpenAI's well-established GPT-4.

Technical Specifications Comparison of Grok-4

This comparison shows the key technical differences between Grok-4 and GPT-4.

Performance Benchmarks for Grok-4

These benchmarks compare reasoning, knowledge, and problem-solving abilities between Grok-4 and GPT-4.

Pricing Comparison Table

This table compares the cost structures between Grok-4 and GPT-4 for API usage.

API Integration Examples

These examples show the different API formats and authentication methods for each provider.

# Grok-4 API Example
import requests

headers = {
    'Authorization': 'Bearer YOUR_XAI_API_KEY',
    'Content-Type': 'application/json'
}

data = {
    'model': 'grok-4',
    'messages': [
        {'role': 'user', 'content': 'Write Python code for sorting'}
    ],
    'temperature': 0.7
}

response = requests.post('https://api.x.ai/v1/chat/completions', 
                        headers=headers, json=data)

# GPT-4 API Example
import openai

client = openai.OpenAI(api_key='YOUR_OPENAI_API_KEY')

response = client.chat.completions.create(
    model='gpt-4',
    messages=[
        {'role': 'user', 'content': 'Write Python code for sorting'}
    ],
    temperature=0.7,
    max_tokens=1000
)

Grok-4 vs Claude Opus 4

This comparison examines Grok-4 against Anthropic's flagship model Claude Opus 4.

Technical Specifications Comparison Table

This table shows the main technical differences between these two flagship models.

Performance Benchmarks Table

These benchmarks compare the reasoning and knowledge capabilities of both advanced models.

Pricing Comparison Table

This table compares the pricing structures between Grok-4 and Claude Opus 4.

API Integration Examples

These examples show the different API implementations and unique features of each provider.

# Grok-4 API Example
import requests

headers = {
    'Authorization': 'Bearer YOUR_XAI_API_KEY',
    'Content-Type': 'application/json'
}

data = {
    'model': 'grok-4',
    'messages': [
        {'role': 'user', 'content': 'Analyze current market trends'}
    ],
    'tools': ['web_search', 'x_data']  # Grok-4 specific tools
}

response = requests.post('https://api.x.ai/v1/chat/completions', 
                        headers=headers, json=data)

# Claude Opus 4 API Example
import anthropic

client = anthropic.Anthropic(api_key='YOUR_ANTHROPIC_API_KEY')

response = client.messages.create(
    model='claude-opus-4',
    max_tokens=1000,
    messages=[
        {'role': 'user', 'content': 'Analyze current market trends'}
    ]
)

Grok-4 vs Gemini 2.5 Pro

This comparison looks at Grok-4 against Google's advanced Gemini 2.5 Pro model.

Technical Specifications Comparison Table

This table compares the technical capabilities between Grok-4 and Gemini 2.5 Pro.

Performance Benchmarks Table

These benchmarks compare the performance between Grok-4 and Gemini 2.5 Pro across different capabilities.

Comprehensive Analysis Summary

Performance Summary Table

This table summarizes key performance metrics and specifications across all major models compared with Grok-4.

Use Case Recommendations for Grok-4

Grok-4 works best for applications that need strong reasoning with real-time information. The model is good choice when you need access to current X (Twitter) data and news sources. Grok 4's native tool use incorporates live data from "X", news sites, and other online sources.

The model performs well for academic and research tasks because of its PhD-level performance across disciplines. It also works well for coding tasks and mathematical problem solving, especially with the Heavy version that uses more computation power.

For applications that need very long context (more than 256K tokens), Gemini 2.5 Pro might be better choice. For applications where cost is important factor, Grok-4 offers competitive pricing compared to other flagship models.

Pricing of Grok-4