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GPT 4.1 mini

Input:$0.32/M
Output:$1.28/M
Context:1.0M
Max Output:1047K
GPT-4.1 mini is an artificial intelligence model provided by OpenAI. gpt-4.1-mini: A significant leap in small model performance, even beating GPT-4o in many benchmarks. It meets or exceeds GPT-4o in intelligence evaluation while reducing latency by nearly half and cost by 83%. This model supports a maximum context length of 1,047,576 tokens.
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Commercial Use

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

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.