You’re seeing the message “Gemini 3.1 Pro is not available on this version. Please upgrade to the latest version” and nothing tells you how to actually update. Here is the fastest way to enable the model across app, web, and API.
Gemini 3.1 Pro update required error
This error appears when your app or SDK is outdated, the model name is wrong, or your region does not yet have Gemini 3.1 Pro. Some users also encounter it during a staged rollout where the update is not yet served to their account.
Solution Overview
| Aspect | Detail |
|---|---|
| Root Cause | Outdated mobile app or SDK, wrong model ID, unsupported region, or staged rollout not yet enabled for your account |
| Primary Fix | Update the Gemini app or SDK to latest, use the correct model ID, and select a supported region |
| Complexity | Easy |
| Estimated Time | 5 to 20 minutes |
Read More: Fix server error symptoms that can appear during account level changes
Enable Gemini 3.1 Pro now
Step-by-Step Solution
A. Update the mobile app
1. Android
– Open Google Play Store, tap your profile, then Manage apps and device, then Updates available, then update Gemini.
– If no update is shown, open the Gemini listing and check if an Update button appears. If still missing, it may be a staged rollout and you will need to wait a short while.
– Optional refresh: Settings, Apps, Gemini, Force stop, then Storage, Clear cache, then reopen the app.
2. iOS
– Open App Store, tap your profile, pull down to refresh, then update Gemini.
– If no update is shown, it is likely a staged rollout. Try again later or use the web or API paths below.
B. Refresh the web version
1. Sign out of gemini.google.com, then sign back in.
2. Perform a hard refresh of the page and clear cached images and files in your browser.
3. Try an incognito window to rule out extensions or stale cookies.
C. Update the Google AI SDK and use the correct model name
- Node.js
– Update the SDK:
npm info @google/generative-ai version
npm i @google/generative-ai@latest
– Minimal test:
import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY);
const model = genAI.getGenerativeModel({ model: "gemini-3.1-pro" });
const result = await model.generateContent("Say hello in one short sentence");
console.log(result.response.text());- Python
– Update the SDK:
pip install -U google-generativeai
# If your project uses the newer package name:
pip install -U google-genai
– Minimal test:
/code
import os
import google.generativeai as genai
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
model = genai.GenerativeModel("gemini-3.1-pro")
resp = model.generate_content("Say hello in one short sentence")
print(resp.text)- Direct REST test
curl -s -X POST \
"https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-pro:generateContent?key=$GOOGLE_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "contents": [{"parts":[{"text":"Say hello in one short sentence"}]}] }'If these tests return an error about an unknown or unavailable model, proceed to the Vertex AI steps to verify region support or wait for access to be enabled.
D. Vertex AI users update and verify region support
- Update tooling
pip install -U google-cloud-aiplatform
gcloud components update- Enable required APIs
gcloud services enable aiplatform.googleapis.com generativelanguage.googleapis.com
- List models to confirm availability in your region
gcloud ai models list --region=us-central1 --filter="displayName~'gemini-3.1'"- Minimal Python test in a supported region
from vertexai import init
from vertexai.generative_models import GenerativeModel
init(project="YOUR_PROJECT_ID", location="us-central1")
model = GenerativeModel("gemini-3.1-pro")
resp = model.generate_content("Say hello in one short sentence")
print(resp.text)If the list command does not show Gemini 3.1 Pro for your region, switch to a supported region such as us central one or wait for rollout.
E. Confirm success
- The model should now load without the upgrade warning.
- If you still see the message, recheck the SDK version, model name, region, and account access.
Related help: Diagnosing truncated agent error messages that hide the real failure
Alternative Fixes & Workarounds
- Use the previous stable model temporarily
– Swap to a stable model ID you already have access to, then switch back later:
– For Google AI SDK: “gemini-1.5-pro” or “gemini-1.5-flash”
– For Vertex AI: verify with the list command before switching
- Wait out the staged rollout
– Some accounts see the upgrade banner before the update is fully rolled out. Retrying after a short interval often resolves it.
- Try a different surface
– If mobile shows the warning, use the web app or API with updated SDKs in a supported region to continue working.
Troubleshooting Tips
- Double check the model name
– Exact ID matters: “gemini-3.1-pro”
- Verify package versions
“`
npm ls @google/generative-ai
pip show google-generativeai google-genai google-cloud-aiplatform
“`
- Confirm API key and project
– Ensure the right key is used and billing is active for the project.
- Region mismatch
– Use a supported region like us central one in Vertex AI. Re run the list command to confirm availability.
- Browser cache issues
– Clear cached images and files, then retry in a fresh session.
If updates trigger unrelated account errors during admin work, this guide can help: resolve HTTP 500 errors in Google Workspace.
Best Practices
- Pin and periodically update SDK versions
– Track release notes and upgrade in a controlled way.
- Use a known supported region
– Prefer us central one for new Gemini releases unless your compliance requires another region.
- Feature flag awareness
– Expect staged rollouts and plan fallbacks to earlier models.
- Add a health check
– On startup, run a quick generate call to detect model availability and fail fast with a clear message.
Exploring fast alternatives while you wait for regional access You may find this technical overview helpful: a DeepSeek V4 Pro Flash model on GPU.
Final Thought
The error is usually an update or region gating issue. By updating your app or SDK, using the exact model ID, and choosing a supported region, you can enable Gemini 3.1 Pro within minutes and continue building.