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GPT-4.1: Better at Coding and Instruction Following
GPT-4.1 is a family of LLMs developed by OpenAI, released on April 14, 2025. It builds upon previous models like GPT-4o, serving as OpenAI's flagship general-purpose AI but with a strong emphasis on specialized tasks.
This model introduces significant advancements in coding proficiency, instruction following, and handling long-context scenarios, making it ideal for real-world programming challenges.
GPT-4.1 is distinct from other models or consumer versions, prioritizing API integration for enterprise and developer use. While it excels in technical domains, it requires API access for implementation.
Application Scenarios of GPT-4.1
GPT-4.1 excels in tasks requiring precision, efficiency, and complex reasoning, distinguishing it from more general-purpose models.
Software Engineering and Code Development
GPT-4.1 is optimized for real-world programming challenges, including code generation, debugging, and building agentic workflows.
It supports developers in automating bug detection, creating keyword-based code search applications, and handling multi-step coding tasks with high accuracy and efficiency.
Customer Support and Real-Time Interactions
In high-throughput environments, GPT-4.1 powers real-time chat systems and customer support tools, delivering fast responses with low latency.
Its strong instruction-following abilities make it ideal for handling dynamic queries in enterprise settings like automated assistance and interactive applications.
Long-Context Reasoning and Complex Analysis
GPT-4.1 excels in scenarios involving extensive data, such as document analysis, multi-turn conversations, or intricate problem-solving.
It maintains coherence over long contexts, enabling applications in research, legal review, or AI agents that require sustained reasoning across large inputs.
GPT-4.1 vs GPT-4.1 mini vs GPT-4o
| Aspect | GPT-4.1 | GPT-4.1 mini | GPT-4o |
| Instruction Following | Scores 87.4% on IFEval | Scores 84.1% on IFEval | Scores 81% on IFEval |
| Long Context | Up to 1 million tokens | Up to 1 million tokens | Up to 128K tokens |
| Coding | 54.6% on SWE-bench Verified | 23.6% on SWE-bench Verified | 33.2% on SWE-bench Verified |
| Vision | 74.8% on MMMU | 72.7% on MMMU | 68.7% on MMMU |
| Pricing (per 1M tokens) | Input: $2.00, Output: $8.00 | Input: $0.40, Output: $1.60 | Input: $2.50, Output: $10.00; higher overall cost |
| Speed/Latency | Improved over GPT-4o at long contexts | Nearly half the latency of GPT-4o; faster than GPT-4.1 | Slower, especially at longer contexts |
| Other Features | Refreshed knowledge cutoff (June 2024); 32,768 max output tokens; better for agents | Cheaper and faster alternative with similar capabilities | Older knowledge cutoff (October 2023); 16.4K max output tokens |
How to Access GPT-4.1?
The best and convenient way to access GPT-4.1 is via HIX AI. Here are 3 simple steps to visit this AI chat model:
- Head over to the HIX AI chat page.
- Select the GPT-4.1 AI model from the list.
- Type your question and start your journey.
Want a different experience? In addition to GPT-4.1, HIX AI also offers other top AI chat models like GPT-5, GPT-5 mini, Claude Opus 4.1, Claude 3.7 Sonnet, DeepSeek-R1, Gemini and much more. You can switch among all of these models to test out their abilities within this single platform.
Questions and Answers
What are the variants available in the GPT-4.1 series?
The GPT-4.1 series includes multiple variants tailored for different needs, such as the full GPT-4.1 model for advanced tasks, a more efficient “mini” version that runs faster and is cost-effective while sacrificing some capabilities, and the first-ever “nano” model designed for lightweight applications.
Does GPT-4.1 support multimodal capabilities?
Yes, GPT-4.1 offers multimodal power, building on previous models by integrating text and image processing for enhanced functionality in tasks like analyzing visual data alongside code or documents.
What is the context length supported by GPT-4.1?
GPT-4.1 supports an extended context length of up to 1 million tokens, a significant upgrade that enables handling of large datasets, extensive codebases, or lengthy documents without losing coherence.
How does GPT-4.1 compare to other AI models like Claude 3 or Gemini?
GPT-4.1 sets new benchmarks with superior coding proficiency, instruction-following, and long-context understanding. While it excels in developer-focused tasks and efficiency, rivals may offer advantages in specific areas like creative generation, but GPT-4.1’s targeted improvements make it a strong choice for technical applications.


