GPT-5.2: Research Revolution Now
Supercharge your research with GPT-5.2's superior reasoning and agentic power.
11 feb 2026 (Aggiornato il 16 feb 2026) - Scritto da Lorenzo Pellegrini
This image is part of OpenAI's official brand assets, available from their press kit
Lorenzo Pellegrini
11 feb 2026 (Aggiornato il 16 feb 2026)
OpenAI Upgrades ChatGPT's Deep Research with GPT-5.2: What You Need to Know
OpenAI has revolutionized ChatGPT with the rollout of GPT-5.2, its most advanced model series yet, specifically enhancing deep research capabilities through superior reasoning, long-context understanding, and agentic tools. This upgrade transforms how users tackle complex tasks, delivering more accurate and reliable outputs for professional work and learning.
What is GPT-5.2 and Why the Upgrade?
GPT-5.2 represents the latest in OpenAI's GPT-5 family, launched in December 2025 as the smartest model for everyday professional use. It excels in state-of-the-art reasoning, handling long contexts, and executing end-to-end real-world tasks with fewer errors. Compared to predecessors like GPT-5.1, it provides clearer explanations, structured responses, and a warmer conversational tone, making it ideal for info-seeking, technical writing, and how-tos.
The model introduces three operational modes: GPT-5.2 Instant for fast everyday tasks, GPT-5.2 Thinking for deeper reasoning on complex queries, and GPT-5.2 Pro for the most demanding workloads. In ChatGPT, GPT-5.2 Auto intelligently switches between Instant and Thinking based on prompt signals and user patterns, optimizing for both speed and intelligence.
Key Enhancements for Deep Research
GPT-5.2 supercharges ChatGPT's research prowess with an updated knowledge cutoff to August 2025, ensuring more current context and reducing the need for manual corrections. Users benefit from improved long-context understanding and agentic tool-calling, which allow the model to manage intricate, multi-step research processes seamlessly.
- Advanced Reasoning: Toggle options like Standard, Extended, Light, and Heavy thinking times let users control depth for research-heavy prompts.
- Multimodal Capabilities: Enhanced vision and image analysis support data-heavy research, from charts to documents.
- Context Compaction: Especially in the GPT-5.2-Codex variant, it handles long-horizon tasks without losing key details.
Early adopters note that GPT-5.2 surfaces key information upfront, making it faster and more reliable for deep dives into topics.
New Features in ChatGPT 2026
Alongside GPT-5.2, ChatGPT introduces tools tailored for collaborative research. Prism, an AI-native research workspace, streamlines team-based investigations. Upgraded real-time Voice and expanded Memory retain more conversation history, perfect for ongoing projects. A new ChatGPT Go plan offers worldwide access with 10x higher limits on messages, uploads, and GPT-5.2 Instant usage.
Safety updates include teen controls and labeled sponsored messages for free users, balancing innovation with responsibility.
Model Transitions and What to Expect
OpenAI is retiring older models like GPT-4o, GPT-4.1, and GPT-5 variants from ChatGPT on February 13, 2026, as nearly all users have migrated to GPT-5.2. Custom GPTs update automatically to GPT-5.2, with recommendations to test business-critical ones. Paid plans (Plus, Pro, Go, Business, Enterprise) get first access, with gradual rollout ensuring stability.
API developers see no immediate changes, but migration testing is advised. Existing chats default to the closest GPT-5.2 equivalent, potentially altering outputs for better performance.
Conclusion
GPT-5.2 marks a pivotal upgrade for ChatGPT, elevating deep research from capable to exceptional with smarter automation and precision. As older models phase out, this positions ChatGPT as the go-to tool for professionals seeking cutting-edge AI assistance.
Embrace GPT-5.2 today to unlock faster, more insightful research and stay ahead in an AI-driven world.
While GPT-5.2's superior reasoning and agentic prowess promise to eclipse GPT-5.1, its 40% higher token costs could trap enterprises in a premium pricing spiral, where marginal gains in fewer steps fail to offset the relentless escalation of AI operational expenses.
