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Available now on ModelsLab · Language Model

XAI: Grok 4 FastSpeed meets intelligence

Deploy Reasoning at Production Scale

Lightning-Fast Generation

10x Faster Response Times

Delivers responses in 2.55s to first token with 342.3 tokens per second output speed.

Massive Context Window

2 Million Token Context

Process entire documents and datasets without losing precision or reasoning quality.

Cost Efficiency

98% Lower Operational Cost

Uses 40% fewer thinking tokens while maintaining near-flagship performance on benchmarks.

Examples

See what XAI: Grok 4 Fast can create

Copy any prompt below and try it yourself in the playground.

Financial Analysis

Analyze this quarterly earnings report and identify key financial trends, risk factors, and growth opportunities. Provide structured insights with supporting data points.

Code Review

Review this Python function for performance bottlenecks, security vulnerabilities, and code quality improvements. Suggest optimized alternatives.

Research Synthesis

Summarize these 50-page research papers on machine learning optimization and extract the most impactful findings and methodologies.

Legal Document Analysis

Extract key clauses, obligations, and risk areas from this contract. Flag potential issues and suggest clarifications.

For Developers

A few lines of code.
Reasoning. Instant. Affordable.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
import requests
response = requests.post(
"https://modelslab.com/api/v7/llm/chat/completions",
json={
"key": "YOUR_API_KEY",
"prompt": "",
"model_id": ""
}
)
print(response.json())

FAQ

Common questions about XAI: Grok 4 Fast

Read the docs

Ready to create?

Start generating with XAI: Grok 4 Fast on ModelsLab.