Why did GPT-4 Turbo get worse at coding

You're not imagining it — GPT-4 Turbo really did get noticeably worse at coding tasks around late 2023 and early 2024. Thousands of developers reported the same pattern: code that used to work perfectly now comes back in

Why did GPT-4 Turbo get worse at coding

You're not imagining it — GPT-4 Turbo really did get noticeably worse at coding tasks around late 2023 and early 2024. Thousands of developers reported the same pattern: code that used to work perfectly now comes back incomplete, solutions got more verbose without being more correct, and models started refusing straightforward requests they'd handled before.

What's actually happening

OpenAI updates their models continuously without always announcing changes. The GPT-4 Turbo you use today isn't the same model as GPT-4 Turbo from six months ago, even though it has the same name. OpenAI calls this "model versioning" — they deprecate older snapshots and roll out newer ones with different training data, alignment techniques, and system prompts.

The most dramatic shift happened between `gpt-4-turbo-2024-04-09` and earlier versions. Developers noticed the model became more cautious, added excessive error handling to simple scripts, and started breaking working code into unnecessarily small functions. What you used to get in 15 lines now arrives in 60 lines with docstrings, type hints, and try-catch blocks you never asked for.

Two specific changes hit coding quality hard. First, OpenAI strengthened safety guardrails to reduce harmful outputs — but these same guardrails made the model refuse legitimate coding requests involving file operations, system calls, or anything remotely security-adjacent. Second, alignment training shifted toward being "helpful" in ways that meant over-explaining and defensive coding rather than delivering the concise solution you actually needed.

How to fix it

1. Pin to a specific model version

Stop using the rolling `gpt-4-turbo` endpoint. Instead, specify an exact snapshot in your API calls or ChatGPT settings:

  • Go to platform.openai.com/playground
  • Under "Model", select `gpt-4-turbo-2024-04-09` or try the earlier `gpt-4-1106-preview`
  • Test your prompts against both versions
  • In ChatGPT Plus, you can't pick snapshots directly, but you can switch between GPT-4, GPT-4 Turbo, and GPT-4o to find which performs better for your specific task

2. Adjust your prompts for the new behaviour

The model now responds better to explicit constraints:

  • Add "Write concise production code without comments or error handling unless specified" at the start
  • Specify "Do not add type hints" or "Use minimal formatting" if you want cleaner output
  • Request "Complete the full implementation in one block" to prevent truncated responses
  • Include "Assume I will handle errors separately" to stop defensive coding patterns

3. Switch to GPT-4o for coding tasks

GPT-4o (the "o" stands for "omni") consistently outperforms GPT-4 Turbo on coding benchmarks as of mid-2024. It handles longer contexts better, produces more accurate code, and costs less per token. In ChatGPT Plus, select GPT-4o from the model picker at the top of your chat. For API users, use the `gpt-4o` endpoint instead of `gpt-4-turbo`.

If switching to GPT-4o doesn't work or you're hitting rate limits, check our guide on GPT model behaviour changes for version-specific workarounds.

If that doesn't work

You're likely hitting broader ChatGPT functionality issues rather than model quality problems. Check your account status first — free users get deprioritized during peak hours, which makes all models perform worse through slower inference and earlier cutoffs.

Document specific examples where the model fails: save the exact prompt, the output you got, and what you expected. Then contact OpenAI support through help.openai.com with these details. Include your account email, the model version you're using, and timestamps. Response times run 2-5 business days for Plus users, longer for free accounts.

Questions people actually ask

Q: Can I still access the original GPT-4 Turbo from November 2023?

A: No. OpenAI deprecates old snapshots completely after 6-12 months. The `gpt-4-1106-preview` snapshot stayed available until June 2024, but you can't access it anymore. Your only option is current snapshots or switching to GPT-4o.

Q: Why does the API version work better than ChatGPT Plus?

A: They use different system prompts and safety layers. The API has fewer conversational guardrails, so it's more direct with code. ChatGPT Plus prioritizes user safety and adds extra filtering that sometimes interferes with technical requests.

Q: Will GPT-4 Turbo get better again?

A: Unlikely. OpenAI is focusing development on the GPT-4o series and o1 models. GPT-4 Turbo is effectively in maintenance mode — you'll see bug fixes but not quality improvements. Expect it to be fully deprecated by late 2025.

What to remember

  • GPT-4 Turbo quality declined due to alignment changes and safety updates, not your imagination
  • Pin to specific model snapshots like `gpt-4-turbo-2024-04-09` to avoid unexpected behaviour changes
  • Add explicit prompt constraints: "concise code", "no error handling", "complete implementation"
  • Switch to GPT-4o — it's faster, cheaper, and currently better at coding tasks
  • Document failures with exact prompts and outputs before contacting OpenAI support

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*openai-support.com is an independent resource, not affiliated with OpenAI Inc.*

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