Model Releases
OpenAI Unveils GPT-4.1 Series: 1M Context & Coding Power
OpenAI releases the GPT-4.1 Series on April 14, 2025, featuring a massive 1M token context window and specialized variants for developers.
April 14, 2025
Model ReleaseGPT-4.1 Series
Introduction
On April 14, 2025, OpenAI officially launched the GPT-4.1 Series, marking a significant milestone in the evolution of large language models. This release is designed to address the growing demands of enterprise applications, particularly in software engineering and complex reasoning tasks. Unlike previous iterations, the GPT-4.1 Series prioritizes instruction following and coding capabilities, making it a robust tool for developers looking to integrate advanced AI into their workflows.
The launch comes at a time when the AI landscape is rapidly shifting towards models that can handle longer contexts and more precise tool usage. OpenAI has optimized this series for professional benchmarks, ensuring that the model can navigate large codebases and maintain coherence over extended interactions. This release solidifies OpenAI's position in the competitive market against rivals like Anthropic and Google.
- Released on April 14, 2025
- Optimized for coding and instruction following
- Part of the OpenAI flagship model family
Key Features & Architecture
The GPT-4.1 Series introduces a reworked architecture that supports a native 1 million token context window. This expansion allows the model to ingest entire repositories, long-form documents, and multi-session logs without losing context. The architecture is built on a Mixture of Experts (MoE) foundation, which improves efficiency while maintaining high-quality output generation.
Three distinct variants are available to cater to different performance and cost requirements: Standard, Mini, and Nano. The Nano variant is specifically engineered for cost-sensitive applications while retaining near-flagship performance. This tiering strategy allows developers to select the appropriate model size based on their specific latency and budget constraints.
- 1 Million token context window
- Standard, Mini, and Nano variants
- Native computer use capabilities
- Reworked tool-calling system
Performance & Benchmarks
In terms of performance, the GPT-4.1 Series sets new records on professional benchmarks. The model demonstrates superior performance in desktop navigation and reasoning tests compared to previous versions. It outperforms human benchmarks in specific coding tasks, particularly in SWE-bench evaluations where it shows improved accuracy in fixing complex software issues.
Comparative analysis against competitors like Grok 4 and Gemini 3 highlights the GPT-4.1's strength in instruction following. The model achieves higher scores on MMLU and HumanEval benchmarks, indicating its reliability in generating correct code and logical reasoning. These improvements make it a preferred choice for enterprise-grade AI agents.