GPT-4.1
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GPT 4.1
Overview :
GPT-4.1 is a series of new models that offer significant performance improvements, particularly in coding, instruction following, and handling long text contexts. Its context window has been expanded to 1 million tokens, and it excels in real-world applications, making it suitable for developers to create more efficient applications. This model is relatively low-cost and offers fast response times, making it more efficient for developing and executing complex tasks.
Target Users :
This product is suitable for software developers, data scientists, and technical teams who need to automate tasks efficiently. GPT-4.1 can significantly improve programming efficiency, optimize code review workflows, and enhance user interaction experiences, making it ideal for widespread use in development.
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Top Region: US(17.26%)
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Use Cases
Windsurf uses GPT-4.1 for code review, improving tool call efficiency by 30%.
Qodo tested GPT-4.1's code generation capabilities in GitHub pull requests, with results outperforming other leading models.
Blue J utilized GPT-4.1 to complete tax scenario analysis, improving accuracy by 53%.
Features
Excellent Coding Capabilities: In software engineering benchmark tests, GPT-4.1 completed 54.6% of tasks, far surpassing its predecessor.
Optimized Instruction Following: In multi-task challenge benchmarks, GPT-4.1 achieved an instruction following score of 38.3%, a significant improvement.
Long-Text Understanding: In multi-modal long-text understanding tests, GPT-4.1 achieved a score of 72.0% in the long-text no-caption category, setting a new record.
Lower Latency and Cost: GPT-4.1 mini outperforms previous versions in many benchmark tests, with latency reduced by almost half and cost reduced by 83%.
Enhanced Multi-turn Dialogue Capabilities: Maintains coherence in conversations and better utilizes previous information.
Higher Real-World Application Performance: Collaboration with the developer community has resulted in model optimization that is more closely aligned with real-world application needs.
Supports Multiple Programming Languages: Can handle tasks in different programming languages and provide accurate solutions.
Improved User Experience: Improves work efficiency by reducing redundant editing.
How to Use
Register and obtain an API key.
Install the required SDK or library and configure the environment according to the documentation.
Create a request, specifying the input text and the desired output format.
Send the request to the API and receive the returned results.
Perform corresponding operations or adjustments based on the returned output.
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