The Gemini student free plan that launched in Taiwan in 2025 gave enrolled students 12 months of Google AI Pro: full Gemini AI Pro access, Deep Research, NotebookLM Plus, Veo and image generation credits, and 5TB of Google One storage. Eligibility was roughly: 18 or older, currently enrolled in Taiwan, using a personal Google account, and verified through SheerID. For anyone juggling reports, PDFs, presentations, and stacks of course materials, this package was considerably more useful than a basic chat quota. Update: the program has ended — the application portal closed on December 9, 2025. Anyone who already enrolled keeps their free access until the 12-month period expires.

Student AI plan portal showing closed application

What is Google AI Pro

Google AI Pro is Gemini’s paid personal tier, built for people who want AI woven into their studying, research, writing, presentations, and Google Workspace flow. The biggest differences from the free version come down to model quota, long context, research tools, and Google ecosystem integration.

Key features listed on the current official subscription page:

FeatureWhat it actually does for students
Gemini 3.1 ProBreak down thesis topics, write research outlines, catch reasoning gaps
1M token contextHandle long PDFs, textbooks, transcripts, research reports
Deep ResearchPull together multi-source research reports on a single topic
NotebookLMOrganize class notes, references, video transcripts, and Audio Overviews
Veo / Image generationDraft visual slides, project video concepts, social graphics
Google apps integrationWork with text and data inside Gmail, Docs, Sheets, and more
Google One storageThe old student plan included 2TB; the current US Google AI Pro page shows 5TB — check the actual checkout page for Taiwan pricing

If your day-to-day materials live in Google Drive, Docs, Slides, and Gmail, Google AI Pro delivers more visible value than buying a standalone chat tool. The pain point for most students is data scattered across PDFs, class slides, YouTube, and Google Docs — Pro pulls those entry points closer together.

Pricing

The official Google subscription page currently lists Google AI Pro at USD 19.99/month and Google AI Ultra at USD 249.99/month. The amount in local currency will vary with exchange rates, taxes, regional pricing, and the checkout page — always confirm on Google One or Gemini’s subscription page before you pay.

PlanOfficial monthly priceBest forStudent verdict
Gemini FreeFreeOccasional question-breaking, short summaries, basic conceptsStart here to test your actual needs
Google AI PlusUSD 7.99A bit more quota than Free, without needing the full Pro tierCheck checkout page for Taiwan availability and price
Google AI ProUSD 19.99Long PDFs, research, NotebookLM, Deep Research, presentation visualsOnly worth it if you’re using it heavily every week
Google AI UltraUSD 249.99Maximum quota, video, advanced agents, 30TB storageMost students don’t need this
ChatGPT PlusUSD 20General chat, writing, image generation, GPT ecosystemGood comparison point if you’re already in the ChatGPT habit
Claude ProUSD 20Long documents, coding, research writingWorth comparing if you write a lot of code or long-form text

The student decision is pretty simple: if you only open AI two or three times a week, exhaust Free first. If you’re processing documents, looking things up, and writing reports every single day, then Pro starts to feel like a tool cost rather than a subscription fee. Ultra’s price jump is steep — skip it unless you have commercial projects, a video production pipeline, or large storage needs on top of coursework.

Getting the most out of Google AI Pro as a student

Subscribing to Pro doesn’t automatically make you better at anything. The approach that actually works is building it into a fixed workflow: break down the prompt, find sources, read them, draft an outline, then revise yourself at the end.

For assignments

The risk with assignments is letting the model write the whole thing — you hand it in and it reads like a template. Have Gemini break down the question and map out directions to investigate, then make your own calls on the argument.

Here is a university course assignment: [paste your assignment here]
Break it into 5 sub-questions.
For each sub-question, list: what to look up, possible arguments, and common mistakes to avoid.
Do not write out complete answers or draw final conclusions for me.

Output from a prompt like this reads more like a study assistant. It unpacks the question without producing a polished-looking assignment that’s actually hard to stand behind.

For thesis writing

Long context and source organization are where Pro earns its keep for thesis work. Put your literature, research plan, advisor feedback, and course requirements in the same context — that’s when Gemini can actually identify the real constraints.

Research topic: [paste topic]
Field: [subject / course name]
Existing literature: [list 3 to 6 papers]
Organize into: research question, possible hypotheses, gaps in the literature, sources still needed.
Flag the corresponding source for each point. Do not introduce claims that no source supports.

If you have a lot of material, feeding it into NotebookLM first is more reliable. NotebookLM stays anchored to the sources; Gemini turns those sources into a usable outline you can actually discuss.

For organizing research

Deep Research and long context are the right tools for research organization. Don’t just ask to “summarize” — decide the output format upfront.

Topic: [paste research topic]
Goal: produce a research summary usable for a 10-minute class presentation.
Output: core question, 3 main arguments, supporting evidence for each, counterarguments, and a 5-slide outline for the end.
Please reply in English. Avoid marketing-style language.

One thing that doesn’t change: the last step is always human. AI can lay out the materials, but whether to adopt a particular argument still depends on course requirements, your instructor’s guidelines, and your own understanding.

Student organizing research materials with Google AI Pro

Google AI Pro vs Gemini Free

Not every student needs Pro. Free handles a lot of everyday coursework fine — short questions, brief summaries, English sentence fixes, and breaking down assignments.

SituationIs Gemini Free enough?Recommendation
Asking concepts, breaking down questions, fixing short sentencesYesDon’t subscribe yet
Summarizing 1–2 page documentsUsually yesReassess if you hit quota limits
Long PDFs, full textbooks, thesis document foldersTends to stallPro will save you time
Need high-quota NotebookLMFree may fall shortPro is more reliable
Deep Research multiple times a weekFree is inconsistentPro is the only option that makes sense
Just want to try image generationDepends on frequencyTest with Free or a Plus-tier plan first

A practical threshold: if you’ve felt blocked by Free’s quota or capabilities for two weeks in a row, then upgrade. Subscribing because you saw someone else get a free year usually just wastes money.

Will another student deal come back

Google has kept the student page live, along with a FAQ noting that the previous student offer has ended. Whether the next batch will return to Taiwan, whether it will shift to a shorter free period, or whether the verification requirements will change — no one knows yet.

Worth keeping on a watchlist. Just don’t plan around it as something that’s definitely happening soon.

FAQ

How long can approved Gemini student free users keep using it?

Check your subscription page for the free period shown. The 2025 Taiwan plan was 12 months free — approved users generally keep access until the 12-month period expires. Whether to renew and when you’ll be charged after that is governed by your Google Play, Google One, or Gemini subscription page.

Are there other AI student plans to use as alternatives right now?

There’s no mainstream individual plan equivalent to “Google AI Pro free for 12 months” for Taiwan students at the moment. OpenAI, Anthropic, Microsoft, and Google may all have regional or school partnership plans, but the details change often — check official pages and your school’s announcements before applying.

What’s the difference between Google AI Pro and Ultra?

Pro is the main paid tier for most individual users: USD 19.99/month, with Gemini 3.1 Pro, Deep Research, NotebookLM, long context, and Google apps integration as the highlights. Ultra is the maximum-quota tier at USD 249.99/month — it adds higher video, model, and storage limits plus some region-specific features. Most students won’t need it.

Do I need a school EDU email to apply for student discounts?

The 2025 Taiwan plan centered on SheerID student identity verification, which may ask for a student ID, enrollment certificate, or school information. An EDU email sometimes speeds up verification, but the final call depends on the official rules at the time. If a new round opens, the requirements may be different.

Can I get a refund after subscribing to Google AI Pro?

Google subscriptions can generally be cancelled, but whether a billing period that’s already been charged is refundable depends on Google One, Google Play, local laws, and current policy. Read the checkout page, renewal date, and refund terms before subscribing — easier than sorting it out after the fact.

Can Google AI Pro be shared with family?

Google One pages list AI plans as including family sharing, with up to 5 members able to share certain Google One benefits. That said, AI feature access, account eligibility, and regional restrictions may have nuances — check the Google One Family Group page for what actually applies.

Will using Gemini for assignments affect my grades?

Whether it causes problems depends on your course policy and how you use it. Using it to break down questions, organize sources, or check phrasing is generally lower risk. Having it generate a complete answer you submit is high risk. The safest approach: keep a record of how you used AI, and disclose it per your instructor or school’s guidelines.

Penchan’s Take

Where I feel Google AI Pro most is with long-form materials and visuals. When organizing research, my pattern is to have Gemini break a pile of documents into a question list first, then hand things off to NotebookLM to organize the actual sources. For article covers, Gemini often gets to a usable composition faster than a pure chat tool would.

For students deciding whether to subscribe, the question I’d ask is: do you need long PDFs, Deep Research, NotebookLM, or presentation visuals more than three times a week? If not, start with Free. If you actually hit the quota ceiling, upgrade for one month and see.

The habit worth building is treating AI as stopping at “materials organized, draft ready.” The final argument, the citations, the voice, and the judgment call on whether it’s ready to submit — that part stays with you. The tool fee saves time. It can’t replace thinking.