GPT-4.1 is HERE! OpenAI is BACK!

1. GPT-4.1 is a significant upgrade over previous models.

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GPT-4.1 outperforms GPT-4.0 and GPT-4.5 in various benchmarks, offering better coding and instruction-following capabilities.

• It features a 1 million token context window, addressing previous limitations.
• The model is tailored for developers, focusing on real-world utility.
• Benchmarks show a 21.4% improvement in coding accuracy over GPT-4.0.

2. The new models are only available via API.

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GPT-4.1 and its variants are exclusively accessible through the API, not the ChatGPT interface, emphasizing developer-focused applications.

• This shift allows for more tailored integrations in various applications.
• The API model is designed for programmatic use, enhancing efficiency.
• Future updates will continue to improve the API's capabilities.

3. GPT-4.1 offers improved performance in instruction following.

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The model shows a 10.5% increase in instruction-following capabilities, making it more effective for complex tasks.

• It scores 38.3 on the multi-challenge benchmark for instruction following.
• OpenAI is developing its own instruction-following benchmark for further evaluation.
• This improvement enhances the model's usability in real-world applications.

4. Cost efficiency is a key feature of GPT-4.1.

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GPT-4.1 is significantly cheaper to use, with no extra charges for the long context window.

• The pricing model is based solely on token usage, making it more accessible for developers.
• Cost reductions are crucial for enterprise applications that require extensive API use.
• This model's affordability encourages broader adoption in various industries.

5. Deprecation of GPT-4.5 is imminent.

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OpenAI plans to phase out GPT-4.5 due to its high resource demands and the superior performance of GPT-4.1.

• Developers will have a transition period until July 14, 2025, to migrate to GPT-4.1.
• The decision reflects a shift towards more efficient models in response to developer feedback.
• GPT-4.5 may still be utilized for future model improvements.

6. GPT-4.1 significantly improves instruction following capabilities.

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The model excels at following complex instructions accurately, outperforming previous versions in various difficulty levels.

• It mimics how API developers use the model, ensuring precise adherence to instructions.
• The model's performance is evaluated across categories like formatting and ranking.
• GPT-4.1 shows a notable increase in accuracy, especially in hard instruction sets.

7. Enhanced context utilization is a key feature of GPT-4.1.

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The model can effectively utilize a million-token context window, improving its ability to retrieve relevant information.

• It successfully identifies specific lines in large datasets, demonstrating advanced pattern matching.
• A live demo showcased its ability to find anomalies in extensive log files.
• This capability was not possible with earlier models, marking a significant advancement.

8. GPT-4.1 offers competitive pricing for various models.

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The pricing structure for GPT-4.1 and its variants is designed to be cost-effective for users.

• GPT-4.1 is priced at $1.84 per million tokens, while the mini version is even cheaper at $0.42.
• The nano version is available for just $0.12 per million tokens.
• These prices make GPT-4.1 accessible for a wide range of applications.