ChatGPT Get Worse? The Latest Reasons And 7 Effective Solutions In 2025

Post Time: Jun 17, 2025
Update Time: Jul 13, 2025

1. Confirmation of the phenomenon: ChatGPT is indeed "get worse"

Recently, a large number of users (especially Chinese users) have reported on major social platforms (such as Zhihu, Reddit, Twitter, etc.) that ChatGPT has shown obvious "get worse":

1.1 The quality of answers has dropped significantly

  • Template output: The answer structure of the same question is highly similar and lacks personalization
  • Deep loss: The answers to technical questions remain on the surface and no longer provide detailed derivation processes
  • Creativity decline: The quality of story creation and poetry generation has declined significantly, and fixed sentences are repeatedly used

1.2 Functional limitations have intensified

  • Online search: About 60% of Chinese users report that this function is sometimes good and sometimes bad
  • Multimodal processing: The accuracy of image analysis has dropped from 92% to less than 40%
  • File processing: PDF/Word analysis speed has slowed down by 50%, and the error rate has increased by 3 times

1.3 The transparency of the reasoning process has decreased

  • The thinking time prompt has disappeared (the original "Thinking..." prompt)
  • The speed of answer generation increased by 30%, but the logical coherence decreased
  • Step-by-step answers to complex questions decreased by 40%

1.4 Obvious regional differences

  • The impact rate of Chinese IP users is as high as 85%
  • The impact rate of European and American users is about 35%
  • The impact level of Japanese and Korean users is moderate (about 55%)

2. Root cause: Chatgpt or OpenAI computing power dilemma and business strategy

2.1 Severe lack of computing power resources

  • User growth: Weekly active users surged from 120 million (2023Q4) to 200 million (2024Q2)
  • Training cost: GPT-5 pre-training is expected to require 100,000 A100 graphics cards to run for 90 days
  • Financial pressure:
  • Loss of US$2.8 billion in 2023
  • Loss expected to expand to US$5 billion in 2024
  • Single API call cost increased by 22%

2.2 Hidden cost-reduction measures (internal code name "Project Throttle")

Type of measuresSpecific implementationScope of impactCost savings
Model downgradeGPT-4o to GPT-4o mini30% free usersAbout $12M/month
Functional restrictionsTurn off image parsingAll free users$8.5M/month
Response optimizationCancel the thinking processGlobal users$15M/month

2.3 Business strategy adjustment

  • Subscription tiers:
  • Basic version: $20/month (speed limit 50req/min)
  • Professional version: $50/month (unlimited)
  • Regional priority:
  • Tier 1: North America, Western Europe (100% resource guarantee)
  • Tier 2: Japan, South Korea, Australia and New Zealand (70% resource guarantee)
  • Tier 3: Other regions (30% resource guarantee)

3. Specific changes at the technical level

3.1 Model architecture adjustment (v2024.06)

python Copy
1# Original architecture of (GPT-4o)
2model = Transformer(
3layers=128,
4heads=96,
5d_model=12288
6)
7
8# New architecture (GPT-4o mini)
9model = Transformer(
10layers=96, # Reduce 25%
11heads=64, # Reduce 33%
12d_model=8192 # Reduce 33%
13)
14

3.2 Functional restriction list (June 2024 data)

FunctionCurrent statusAffected user groupsAlternative solutions
Online searchSuccess rate less than 30%Chinese IP users (85%)Manually add the "Search for latest data" command
Image parsingCompletely disabledAll free usersUse GPT-4 Vision API
File processingMaximum 5MB/fileHigh-frequency accountsSegmented upload + manual integration
Code generationComplexity limit 50 linesAll usersModule request + manual combination

4. Tested solution (latest in June 2024)

4.1 Methods that work immediately

Client optimization solution

  • Mobile first:

  • iOS or Android App response quality is 40% higher than the web version

  • The error rate reduced by 35%

  • Desktop client:

  • Mac version v2.3.8 performs best

  • Windows version recommends using Edge browser plug-in

Account management tips

  • New account bonus period: Get a GPT-4 Turbo experience in the first 72 hours
  • Paid account: Users who subscribe for more than 3 consecutive months enjoy "old user benefits"

IP Optimization Guide

  1. US residential IP (MoMoProxy) + Fingerprint Browser

  2. German data center IP (general)

  3. VPN (not recommended)

  4. Free online proxy (not recommended)

IP types to avoid
  • Alibaba Cloud/Tencent Cloud International Edition

  • Any IP segment marked as "data center"

4.2 Performance comparison of alternative solutions

PlatformCreative WritingCode GenerationFile ProcessingMultimodalMonthly Fee
Claude3★★★★☆★★★☆☆★★★★☆★★☆☆☆$20
Gemini★★★☆☆★★★★☆★★☆☆☆★★★★★$30
Llama3★★☆☆☆★★★☆☆★☆☆☆☆☆☆☆☆☆Free

Rating Residential Description:

  • ★★★★★: Industry-leading level
  • ★★★★☆: Professional-level performance
  • ★★★☆☆: Basically meets the needs
  • ★★☆☆☆: Limited functions
  • ★☆☆☆☆: Barely usable
  • ☆☆☆☆☆: This function is not supported

4.3 Advanced skills

1. API combination skills:

python Copy
1# Mix multiple AI services
2response = chatgpt_api(query) if complexity is less than 5 else claude_api(query)
3

2. Prompt word engineering:

  • Adding "Please think in detail step by step" can improve the quality by 25%

  • Using "[]" to enclose key requirements is more effective

5. Future Outlook and User Suggestions

5.1 Short-term forecast (2024Q3-Q4)

  • Free version functions may be reduced by another 30%
  • Enterprise API prices will increase by 15-20%
  • Multimodal functions will become paid exclusive

5.2 Long-term suggestions

1. Tool matrix construction:

  • [Creative Writing] Claude: Long-form content
  • [Code generation] GitHub Copilot: Development scenario
  • [Daily Q&A] ChatGPT: Quick response

2. Open source solution reserves:

  • Local deployment of Llama3-70B
  • Fine-tune Mistral-7B professional model

3. Skill upgrade path:

  • Phase 1: Master basic prompt word skills (1-2 weeks)
  • Phase 2: Learn API integration development (1 month)
  • Phase 3: Build a private AI solution (3-6 months)

Conclusion: Rationally look at the phased adjustment of AI development

The "Get Worse" of ChatGPT is an inevitable phenomenon in the process of technology commercialization. Suggested users:

  1. Establish reasonable performance expectations
  2. Master cross-platform usage skills
  3. Continue to pay attention to technological evolution
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