Why does ChatGPT freeze with 1000 messages but Claude and Gemini don't
A 1,865-message chat crashed ChatGPT until a user patched its inefficient rendering.
A persistent bug causing ChatGPT to freeze and crash during extended conversations has been traced to a fundamental rendering inefficiency. Unlike competitors Claude (Anthropic) and Gemini (Google), which only render messages currently visible on screen, ChatGPT loads the entire conversation history into the browser's Document Object Model (DOM) at once. This means a chat with 1,000 messages creates thousands of active DOM nodes running simultaneously, eventually overwhelming the browser's memory and leading to an "Aw, Snap!" crash. The issue highlights a significant architectural difference in how these AI assistants handle long-term context within the user interface.
A user, Distinct-Resident759, diagnosed the problem and engineered a functional solution. The fix works by intercepting the chat data before the React framework renders it to the page, programmatically trimming the history to only the most recent messages. This intervention successfully transformed a previously unusable 1,865-message chat from crashing every time to running completely smoothly. While not an official OpenAI patch, this user-built workaround demonstrates the specific technical flaw and provides a temporary solution for power users engaged in marathon AI sessions, from coding marathons to deep research threads.
- ChatGPT loads all messages into the DOM at once, causing crashes in long chats (e.g., 1,000+ messages).
- Claude and Gemini avoid this by only rendering messages currently visible on the user's screen.
- A user-built fix intercepts data pre-render to trim history, fixing a crashing 1,865-message chat.
Why It Matters
For power users relying on long conversational context, this bug limits ChatGPT's reliability compared to its competitors.