1048K

Out

Chat

disable

GPT-4.1

OpenAI's GPT-4.1: Enhanced coding, million-token processing, and precise instruction following at lower cost than GPT-4.5 with state-of-the-art performance.

Free $1 Tokens for New Members

Text to Speech

Javascript

Python

                                        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}")

Docs

One API 300+ AI Models

Save 20% on Costs & $1 Free Tokens

Get API Key Explore Models

GPT-4.1

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)

Q1: What are the main improvements of GPT-4.1 over GPT-4o?

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.

Q2: What is the maximum context window for GPT-4.1?

A2: GPT-4.1 can process input contexts of up to 1,047,576 tokens, which is approximately 750,000 words.

Q3: How does GPT-4.1's pricing compare to previous models?

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.

Q4: Are there any limitations to consider with GPT-4.1?

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.

Q5: What are the key enterprise applications for GPT-4.1?

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.

AI Playground

Test all API models in the sandbox environment before you integrate. We provide more than 300 models to integrate into your app.

Try For Free

One API
300+ AI Models

Save 20% on Costs

Free $1 Tokens for New Members