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GPT-4.1 Mini API

The GPT-4.1 Mini API is a cost-effective, mid-sized language model developed by OpenAI, offering a substantial 1 million token context window, enhanced coding and instruction-following capabilities, and improved long-context comprehension, making it well-suited for a variety of applications such as software development, customer support, and data analysis .
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import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key="<YOUR_API_KEY>",    
)

response = client.chat.completions.create(
    model="GPT-4.1 Mini",
    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}")

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GPT-4.1 Mini API

The GPT-4.1 Mini API is a cost-effective, mid-sized language model developed by OpenAI, offering a substantial 1 million token context window, enhanced coding and instruction-following capabilities, and improved long-context comprehension, making it well-suited for a variety of applications such as software development, customer support, and data analysis .

GPT-4.1 Mini: A Professional Overview

OpenAI’s recent release of the GPT-4.1 Mini model marks a significant advancement in the field of artificial intelligence. As a compact and efficient version of the GPT-4.1 series, GPT-4.1 Mini is designed to deliver high performance in coding, instruction following, and long-context comprehension, all while maintaining cost-effectiveness and speed. This model is tailored for applications requiring rapid responses and efficient processing, making it ideal for integration into various real-time systems.

Key Features of GPT-4.1 Mini

GPT-4.1 Mini is distinguished by its balance of performance and efficiency. Key features include:

  • Compact Architecture: Designed as a smaller model in the GPT-4.1 lineup, enabling deployment in resource-constrained environments.
  • Enhanced Coding Capabilities: Demonstrates superior performance on coding benchmarks like SWE-Bench, surpassing previous models such as GPT-4o and GPT-4.5 in key areas.
  • Instruction Following: Improved adherence to complex instructions, reducing the need for repeated prompts.
  • Long-Context Processing: Supports a context window of up to 1 million tokens, facilitating the analysis of extensive inputs.
  • Cost and Speed Efficiency: Offers lower latency and cost compared to larger models, making it suitable for high-volume applications.

Cost Efficiency and Accessibility

GPT-4.1 Mini is designed to be cost-effective, with pricing set at $0.15 per million input tokens and $0.60 per million output tokens. This makes it more accessible for developers and organizations with budget constraints

Evolution of GPT-4.1 Mini

GPT-4.1 Mini represents a strategic evolution in OpenAI’s model development:

  • From GPT-4o to GPT-4.1: Building upon the capabilities of GPT-4o, GPT-4.1 introduces enhanced context handling and instruction following.
  • Introduction of Mini Variant: The Mini model addresses the need for efficient, high-performance AI solutions in scenarios where computational resources are limited.
  • Competitive Positioning: GPT-4.1 Mini’s release aligns with industry trends favoring smaller, more efficient models without compromising on performance.

Benchmark Performance of GPT-4.1 Mini

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints.

Application Scenarios of GPT-4.1 Mini

GPT-4.1 Mini’s design makes it suitable for a variety of applications:

  • Real-Time Systems: Ideal for applications requiring immediate responses, such as customer support chatbots and interactive assistants.
  • Edge Computing: Suitable for deployment on devices with limited processing power, enabling intelligent features in IoT devices.
  • Educational Tools: Can be integrated into learning platforms to provide instant feedback and assistance.
  • Code Assistance: Useful for developers requiring quick code suggestions and debugging support.

See Also GPT-4.1 Nano API and GPT-4.1 API.

Conclusion

GPT-4.1 Mini embodies OpenAI’s commitment to delivering high-performance AI solutions that are both efficient and accessible. Its compact design, coupled with robust capabilities in coding and instruction following, positions it as a valuable tool across various industries. As AI continues to evolve, models like GPT-4.1 Mini will play a crucial role in democratizing access to advanced AI technologies.

How to use GPT-4.1 Mini API

GPT-4.1 Mini Pricing in CometAPI:

  • Input Tokens: $0.32 / M tokens
  • Output Tokens: $1.28 / M tokens

Required Steps

  • 1.Log in to cometapi.com. If you are not our user yet, please register first
  • 2.Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.
  • 3. Get the url of this site: https://api.cometapi.com/

Code Example

  1. Select the “gpt-4.1-mini” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience.
  2. Replace <YOUR_API_KEY> with your actual CometAPI key from your account.
  3. Insert your question or request into the content field—this is what the model will respond to.
  4. . Process the API response to get the generated answer.

For Model lunched information in Comet API please see https://api.cometapi.com/new-model.

For Model Price information in Comet API please see https://api.cometapi.com/pricing

Please check out the most popular GPT-4o-image API in cometapi.com.

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