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OpenAI announced the launch of GPT-4.1, an advanced AI model that outperforms its predecessors in encoding, context, and instruction following, delivering higher performance at a lower cost. It is also available in Mini and Nano versions for different needs.
Key Points:
- Expanded Context Window: GPT-4.1 supports up to 1 million tokens, improving the handling of large inputs compared to GPT-4o’s 128,000 tokens
- Improved Encoding Performance: The model shows a 21% increase in encoding tasks compared to GPT-4o and a 27% increase over GPT-4.5
- Cost Efficiency: GPT-4.1 is 26% less expensive than GPT-4o, making it a cost-effective choice for developers.
- Optimized Versions: Mini and Nano variants offer lighter, faster solutions, ideal for resource-constrained applications or low-latency needs.
OpenAI recently introduced its most advanced AI model yet, GPT-4.1, a significant improvement over its predecessors. This multimodal model is designed to handle a wide range of inputs, including text, images, and video, with an expanded context window of up to 1 million tokens, far exceeding previous limitations. Coding capabilities have been significantly improved, with significant improvements in industry-standard benchmarks. Additionally, GPT-4.1 offers improved instruction following accuracy, making it a more reliable tool for complex applications. OpenAI also launched two optimized versions: GPT-4.1 Mini, which balances performance and cost, and GPT-4.1 Nano, designed for high-speed, low-latency operations. These models are available exclusively through the OpenAI API, giving developers versatile tools for a wide range of applications. With these innovations, OpenAI continues to push the boundaries of AI, providing more efficient and accessible solutions to today’s technological challenges.
With GPT-4.1 and its variants, OpenAI demonstrates an ongoing commitment to improving the efficiency and accessibility of AI, providing powerful tools for developers and enterprises in an ever-evolving technology landscape.