As an AI assistant developed by Anthropic, Claude may occasionally encounter login failures, conversation slowdowns, or error prompts during daily use. This article compiles the most frequently reported issues—from registration and binding to model switching—helping you quickly pinpoint and resolve problems without scouring forums.
Account Registration and Login Issues
Can't receive the verification email when signing up? First check your spam folder. If it's still missing, try a different email provider (e.g., switch from Gmail to Outlook) or wait a while and retry. Claude may experience slight delays with some Chinese email providers, so using a major international email service is recommended.
A "Account Locked" login prompt is usually triggered by the security system due to frequent device switching or logins from unusual IP addresses. Check your registered email for an unlock link, or contact customer support via the official website with your registration details to request an unlock. Avoid logging in repeatedly over public Wi-Fi.
If you see a "Session Expired" message when switching accounts, simply clear your browser cache or restart the client. Claude's session timeout is relatively short; it's best to log in again after a period of inactivity.
Model Selection and Conversation Lag
Is there a difference between the free and Pro models? The free plan uses Claude 3 Haiku by default, which is faster but has weaker reasoning capabilities compared to the Pro plan's Sonnet or Opus. If you notice a sudden model downgrade mid-conversation, check whether you've exceeded your free quota (approximately 30 messages every 3 hours).
Encountering a "Request Error" or "Network Timeout" during a conversation usually means your current request triggered content safety filters or the server is congested. Try simplifying your question, avoiding sensitive terms, or waiting about 5 minutes before sending again. Claude handles long contexts well, but responses may slow down beyond 100,000 tokens.
Some users report inconsistent Chinese response quality—this is related to the model's training data, which is predominantly in English. In your first message, explicitly ask for a "full response in Chinese" and avoid mixing Chinese and English to improve accuracy.

