GPT-4.1 is a versatile AI built for practical, high‑accuracy work: advanced coding assistance, long-document reasoning, and multimodal understanding. It generates cleaner, runnable code, helps debug and refactor existing projects, and follows detailed multi-step instructions more reliably than previous GPT-4 models. A standout capability is its one‑million token context window — you can load entire books, long codebases, or extended agent workflows into a single session and keep full context for sustained reasoning or editing. Multimodal improvements let GPT-4.1 interpret images and video alongside text for richer outputs: extract insights from documents with embedded figures, summarize long meeting recordings, or analyze visual content for moderation and marketing tasks. The family ships in three variants to match needs: the full standard model for the most complex tasks; GPT-4.1 Mini for a strong balance of speed, cost, and vision accuracy; and GPT-4.1 Nano for ultra-low-latency tasks like classification and autocompletion. Mini and Nano deliver major reductions in latency and cost while retaining high benchmark performance, making advanced capabilities accessible in production. Practical use cases include automated coding (generation, review, and refactor), powering agentic workflows that perform multi-step tasks, large-scale research and data analysis in a single session, and multimodal applications such as content moderation, education, and digital marketing. Businesses benefit from fine-tuning support for domain customization and the option to trade raw power for speed and cost-efficiency. While GPT-4.1 reduces common failure modes and improves instruction following, users should still validate critical outputs. Overall, GPT-4.1 combines long-context memory, strong multimodal understanding, and superior coding performance to accelerate complex real-world workflows.