ChatGPT Plus Usage Limitations and Best Practice

1. Understanding ChatGPT Plus and Its Limitations

ChatGPT Plus ($20/month) provides **priority access to GPT-5 **.
The limitation is implemented not as an explicit quota but through dynamic control based on overall system load.
This means:

• Access restrictions may occur during high-load periods.
• Users with prolonged or high-traffic usage may experience temporary cooldowns.

2. Potential Temporary Restrictions and Countermeasures for “Restrictions” or “Suspended Status”

Restrictions may be imposed in the following cases:

Type	Description	Countermeasure
Temporary request limit	Sending a large number of messages (tens to hundreds) in a short time may trigger “Slow down” or “Rate limit reached” warnings.	Wait 1 to several minutes for automatic release. Send long messages in separate batches.
Token Limit	Messages exceeding approx. 50k–100k tokens will be truncated mid-transmission.	Split long code or documents into segments. Dividing into first/second halves improves stability.
Continuous Conversation Limit	Accumulating extremely large chat histories (thousands of lines) in a single thread can overload the model.	Periodically create a “new chat”. Separate by topic.
Peak Load Priority Restriction	During high server load times (e.g., US daytime hours corresponding to late night/early morning JST), responses may be delayed or interrupted.	Relatively stable during daytime and late night Japan Standard Time.
Image/Code Generation Resource Restriction	Performing image generation or large-scale code analysis consecutively within a short timeframe may cause errors or delays.	Allow approximately one minute between image generation or long code processing tasks.

Token Tip: 1 token ≈ 0.75 English words / 1–2 Japanese characters.

3. Smart Usage (The Three Pillars: Stability, Efficiency, and Safety)

Tips for Stability

1. Separate threads by topic
2. Split long texts and code into multiple posts
   　→ Divide code exceeding 1,000 lines per post into 2-3 parts.
3. Use explicit phrasing like “The following is the xx section” instead of “Continued below”
   　→ This helps the model maintain accurate context.

Tips for Improving Efficiency

1. Structure questions as “Background + Purpose + Phenomenon + Desired Output Format”
   Example:
   Background: Building with Flutter
   Phenomenon: Error with :gradle:compileGroovy
   Purpose: JDK 17 compatibility
   Desired: Provide a modified version based on the full build.gradle file
2. Space out image generation and code analysis tasks
   → Sequential processing is more stable and faster than parallel processing.

Safety Guidelines

• Remove API keys, private data, or personal info
• Review outputs before public posting
• Delete confidential chats after use

4. Actual “Usage Limit Examples” and Guidelines

Item	Guideline (Plus)	Notes
Text Processing Volume	Stable up to several hundred messages/day	Typically no issues even with all-day conversations
Long Text Analysis	~50,000 tokens (approx. 30-40 pages)	Splitting required beyond this
Image Generation	Several dozen images/day	Allow intervals between consecutive generations
File Analysis	Primarily text files up to several MB	CSV, txt, docx, etc. can be processed stably

5. Summary

• For personal use, ChatGPT Plus rarely triggers “restriction-based suspensions.”
• Restrictions only occur during “temporary high load” or “abnormal rapid-fire requests.”
• Even with continuous heavy usage, maintaining thread management and splitting requests ensures stability.

Area	Best Practices
Long code consultations	Split into segments of 3,000 lines each
Image generation	Space out requests every 3-5 images
Thread management	Organize by topic
Backups	Export monthly
Context preservation	Avoid “continuing from last time”; explicitly state e.g., “Below is the full build.gradle file”