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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'openai/gpt-4.1-2025-04-14',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="openai/gpt-4.1-2025-04-14",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
-
AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
Product Detail
💻 Introducing GPT-4.1: OpenAI's Next-Gen AI for Developers
GPT-4.1 is OpenAI's cutting-edge large language model, engineered for significant advancements in coding capabilities, instruction following, and long context processing. This model marks a substantial leap from GPT-4o, delivering enhanced performance at a more cost-effective profile than GPT-4.5. It particularly excels in software engineering tasks, with robust optimizations for real-world developer applications including frontend coding, streamlined code editing, and meticulous adherence to instructions.
🔧 Technical Specifications
Context Window & Token Capacity
GPT-4.1 boasts an impressive input context of up to 1,047,576 tokens (approximately 750,000 words), allowing for comprehensive analysis. It can generate outputs of up to 32,768 tokens in a single response.
The model's knowledge cutoff date is May 31, 2024, reflecting its training data currency.
API Pricing
Input tokens: $2.1 per million tokens
Output tokens: $8.4 per million tokens
Performance Benchmarks
- ✅ SWE-bench Verified: 52-54.6% (21.4% improvement over GPT-4o)
- 💯 Instruction Following (IFEval): 87.4% (6.4% improvement over GPT-4o)
- 📚 Long Context Reasoning (OpenAI-MRCR): 84% accuracy with 8,000 tokens, degrading to 50% with 1 million tokens
- 🌐 Graph Reasoning (Graphwalks): 61.7% (19.7% improvement over GPT-4o)
- 🏆 Multi-challenge Benchmark: 38.3% (10.5% improvement over GPT-4o)
🚀 Key Capabilities of GPT-4.1
Programming and Software Development
- Enhanced frontend coding with significantly fewer unnecessary edits.
- Improved code refactoring and debugging for complex software projects.
- Adheres to programming best practices with superior accuracy.
- Generates optimized diffs through extensive training.
- Supports advanced agentic development workflows for autonomous coding tasks.
- Achieves state-of-the-art performance in practical software engineering.
Long Context Processing
- Processes and reasons over documents containing up to 1 million tokens with maintained coherence.
- Effectively retrieves specific information from large corpuses.
- Analyzes entire codebases, maintaining context across multiple files and functions.
- Handles multi-document analysis with improved accuracy for research and legal applications.
- Optimized for XML-style delimiters to enhance structure and information retention.
Instruction Following
- Adheres precisely to explicit formatting instructions with higher consistency.
- Handles negative instructions (what not to do) with improved accuracy.
- Performs multi-step ordered instructions with enhanced sequential understanding.
- Executes ranking and sorting tasks with greater accuracy.
- Interprets prompts more literally, requiring more explicit instructions from users for optimal control.
API Functionality
- Provides comprehensive function calling support for integration with external tools.
- Offers streaming capability for real-time response generation.
- Supports system messages for defining behavior parameters and constraints.
- Includes vision capabilities through image inputs, enabling multimodal understanding.
📁 API Integration & Availability
GPT-4.1 is available through AIML's API service, catering to developers and organizations. OpenAI plans to gradually integrate GPT-4.1 features into the ChatGPT interface over time. The system offers comprehensive support for tool calling and complex agentic workflows with enhanced reliability.
API References - Documentation
⚠️ Limitations and Considerations
- Performance Degradation: Accuracy drops from 84% at 8,000 tokens to approximately 50% at 1 million tokens with extremely large inputs.
- Literal Instruction Interpretation: The model interprets instructions more literally than GPT-4o, necessitating more specific and explicit prompts for optimal results.
- Use Case Optimization: It is highly optimized for specific use cases based on extensive developer feedback.
- Replacement of GPT-4.5: GPT-4.1 will replace GPT-4.5 in the API, with GPT-4.5 scheduled for deprecation on July 14, 2025.
🏙️ Enterprise Applications & Use Cases
Enterprise Applications
- 📄 Legal Document Analysis: 17% improvement in multi-document review accuracy (as reported by Thomson Reuters).
- 💸 Financial Data Extraction: 50% better performance on extracting granular financial data (as reported by Carlyle).
- 🔎 Regulatory Research: 53% improvement in accuracy, especially for multi-step logic tasks (as reported by Blue J Legal).
Recommended Use Cases
- Complex software development projects requiring advanced reasoning and code generation.
- Large-scale document analysis across diverse industries and domains.
- Sophisticated multi-document question answering with improved context retention.
- Agentic workflows demanding precise instruction following and multi-step execution.
- Superior codebase understanding and refactoring capabilities for legacy systems.
- Efficient API and integration development with structured outputs and accurate documentation generation.
❓ Frequently Asked Questions (FAQ)
A1: GPT-4.1 offers significant advancements in coding capabilities, instruction following, and long context processing, with notable performance improvements in benchmarks like SWE-bench Verified (21.4%) and Instruction Following (6.4%) compared to GPT-4o.
A2: GPT-4.1 can process input contexts of up to 1,047,576 tokens, which is approximately 750,000 words.
A3: GPT-4.1 is designed to be more cost-effective than GPT-4.5, with input tokens priced at $2.1 per million and output tokens at $8.4 per million.
A4: Yes, performance can degrade with extremely large inputs (accuracy drops from 84% at 8,000 tokens to 50% at 1 million tokens). Additionally, it interprets instructions more literally, requiring users to provide more specific and explicit prompts for optimal results.
A5: GPT-4.1 demonstrates strong performance in legal document analysis (17% improvement), financial data extraction (50% better), and regulatory research (53% improvement), as reported by industry leaders.
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