What is the GPT-5 Bug Tracker?

The GPT-5 Bug Tracker is a public tool that allows users to report, track, and share issues found in GPT-5. Reports are shared in real-time and can be posted directly to X (Twitter) to raise awareness.

How can I report a GPT-5 bug?

Simply visit the GPT-5 Bug Tracker, describe the issue in detail, and submit it. You can also share it on X using your unique bug link to help other users identify the same problem.

Why should I share GPT-5 bugs on X?

Sharing GPT-5 bugs on X helps create visibility and urgency for fixing them. The more people see and report the same issue, the faster it may be addressed.

How can Scalevise help with this?

Scalevise helps businesses turn complex digital challenges into scalable solutions. Whether you're facing compliance, automation, integration, or innovation hurdles — our team delivers custom strategies and implementations that work. Contact us today at contact@scalevise.com or call +31-6-27178770 to find out how we can help you move forward.

GPT-5 Bugs & Issues Tracker Live Feed

Name: GPT-5
Brand: OpenAI

3 min read

GPT-5 Bugs & Issues Tracker

Latest GPT-5 Bugs and Reports

This tracker is updated automatically with community-reported GPT-5 issues from platforms like Reddit, X, OpenAI forums, and Discord. Independent observations only.

Last update: February 13, 2026 11:38

GPT-5 chat completions experiencing unexpected timeouts with complex multi-step code generation requests.

Sources: Reddit, OpenAI Developer Forum,

Latest GPT-5 Bugs and Reports

Last update: February 13, 2026 11:38

GPT-5 chat completions experiencing unexpected timeouts with complex multi-step code generation requests.

Message context windows occasionally reset in long sessions, losing prior conversation history without warning.

Certain image-to-text prompts return null responses or 500 errors when images contain mixed language texts.

GPT-5 API intermittently rate limiting users below documented thresholds since the latest deployment.

GPT-5 experiencing timeouts and empty responses for API calls with multi-modal (image + text) requests.

Sudden increase in hallucinated data when querying recent events (last 48 hours), even when using 'latest context' settings.

Persistent memory leakage observed during long interactive chat sessions in the Playground, leading to browser crashes.

GPT-5 API sporadically returns 502 gateway errors during high-concurrency requests.

Generated code outputs from GPT-5 sometimes include non-executable or garbled Unicode characters in multi-language snippets.

GPT-5 exhibits latency spikes (up to 4x regular response time) when processing large JSON files via API.

Users report GPT-5 chat context windows randomly dropping or swapping content between threads in web interface.

GPT-5 API latency spikes reported during peak hours, causing timeouts for some applications.

Unexpected error 502 when generating code snippets with specific Python libraries (e.g., `pandas`).

GPT-5 chat interface drops conversation history after session reconnect, losing previous context.

GPT-5 API experiencing sporadic 502 errors during high concurrency requests.

Model generating duplicate content blocks in multi-step workflows when using the Chat Completions endpoint.

Serious latency spikes (up to 30+ seconds) reported in EU regions for GPT-5 API calls.

Fine-tuned GPT-5 models occasionally revert to default base behavior without warning in production.

GPT-5 experiences severe latency (20-30s delays) when handling multi-turn API calls in high-traffic periods.

Certain code-generation prompts cause GPT-5 to output syntactically invalid code intermittently, especially for TypeScript projects.

Data loss reported in conversation memory for ChatGPT Plus users when context exceeds 32k tokens; responses sometimes reference earlier portions incorrectly.

GPT-5 API rate limits fluctuating, causing unpredictable 429 errors for some enterprise accounts.

Severe latency spikes (10-30s delays) reported during midday UTC, affecting production deployments.

Inconsistent code output with multi-file Python project generations; some files missing or incomplete.

Data extraction prompts returning blank responses for tabular inputs in CSV parsing tasks.

More on GPT-5 by Scalevise