Why Is Gemini Giving Worse Answers Now? Quality Fix

If you have noticed that Google Gemini is suddenly giving worse answers, hallucinating facts, ignoring your system instructions, or failing at tasks it previously handled with ease, you are likely experiencing "model drift," context window pollution, or extension conflicts.

As Google updates its underlying models, performance on specific niche tasks can sometimes degrade. Fortunately, you can resolve most quality issues by optimizing how you manage your chat sessions and system settings. Follow these steps to restore Gemini's accuracy and intelligence.

1. Start a fresh chat session to clear context drift Gemini has a massive context window, meaning it remembers what you said earlier in the conversation. However, as a chat session grows longer, old information, formatting errors, and off-topic outputs pollute its active memory. This causes the model to prioritize older context over your current instructions, leading to progressively worse answers.

1. Click New Chat in the top-left corner of the Gemini interface.
2. Paste your prompt into the clean session.
3. Keep your chat sessions focused on single tasks. Once a task is complete, close the session and start a new one to prevent context dilution.
4. If you need Gemini to remember previous rules, paste a brief summary of those rules at the beginning of your new chat.

2. Disable distracting Gemini Extensions Gemini features extensions that allow it to pull data from Google Workspace, YouTube, Google Maps, and Google Flights. While useful, these extensions often force the model to prioritize web searches or external data retrieval over logical reasoning and creative writing.

1. In the Gemini web interface, click on Settings (the gear icon) or go directly to the Extensions menu.
2. Toggle off extensions that you do not actively need for your current task (especially Google Workspace and Google Maps).
3. Try your prompt again. Without the distraction of external tools, the core model can dedicate more processing power to reasoning and text generation.

3. Implement few-shot prompting If Gemini's output style has become lazy, generic, or excessively conversational, you need to explicitly guide its behavior using "few-shot prompting." This involves giving the model examples of correct answers before asking it to generate a new one.

• Structure your prompt like this:
• *"You are an expert technical editor. Here is an example of a good edit: [Insert Example Input] -> [Insert Example Output]. Now, perform the same style of edit on this text: [Insert your actual target text]."*

Providing even one or two high-quality examples drastically improves Gemini's accuracy and stops it from generating low-effort filler text.

4. Force a higher-performing model version If you are using the free version of Gemini, you may occasionally be routed to a faster but less capable model (like Gemini Flash) during periods of high server traffic.

• If you are a Gemini Advanced subscriber, ensure the model dropdown menu at the top-left of the screen is set to Gemini Advanced (which uses Gemini 1.5 Pro) rather than the standard model.
• If you need guaranteed access to the highest-performing raw models without automatic down-routing, use Google AI Studio. This developer tool is free to use and lets you manually select the exact model version (e.g., Gemini 1.5 Pro 002) to ensure consistent, un-nerfed performance.

5. Clear browser cookies and active cache Corrupted local storage files can prevent the Gemini interface from correctly saving and applying your preferences or loading system updates, leading to degraded performance.

1. In your web browser, click the lock icon next to the URL in the address bar.
2. Select Site settings or Cookies and site data.
3. Click Clear data or delete all saved cookies for gemini.google.com.
4. Refresh the page, sign back in, and test the model's behavior.

When to escalate If Gemini continues to give completely wrong answers, fails to read uploaded files, or refuses benign prompts with safety errors, check online community forums (like Reddit's r/Bard or the Google Cloud Community) to see if Google has deployed a buggy system update. You can report specific bad answers by clicking the **Thumbs Down** icon under the response, which sends the generation details directly to Google's engineering team for review.