OpenAI unveils GPT-4.1 models with improved coding capabilities

OpenAI has launched its latest AI model series, GPT-4.1 , introducing major improvements in coding, instruction following, and long-context comprehension. The new models—GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano—are designed to outperform previous iterations, offering developers more efficient and cost-effective AI solutions .

Key features of GPT-4.1The standout feature of GPT-4.1 is its expanded context window , supporting up to 1 million tokens, significantly surpassing the 128,000-token limit of its predecessor, GPT-4o. This enhancement allows the model to process and understand larger datasets, making it particularly effective for complex tasks such as analysing extensive codebases or lengthy documents.

Additionally, GPT-4.1 delivers notable gains in coding performance, showing a 21% improvement over GPT-4o and a 27% increase compared to GPT-4.5. OpenAI CEO Sam Altman emphasised that the model was optimised for real-world utility, stating, "These models are great at coding, instruction following, and long context. Benchmarks are strong, but we focused on real-world applications , and developers seem very happy"

Cost-efficient AI models OpenAI has introduced three versions of GPT-4.1 to cater to different needs:

• GPT-4.1: The standard model with full capabilities.
• GPT-4.1 Mini: A cost-efficient version with reduced latency.
• GPT-4.1 Nano: The smallest, fastest, and most affordable model, ideal for classification and autocompletion tasks

With the launch of GPT-4.1, OpenAI is phasing out older models, including GPT-4, which will be retired from ChatGPT by April 30, and GPT-4.5, which will be deprecated by July 14.