As checked on March 24, 2026, Google's official Gemini Developer API pricing page lists gemini-3-pro-image-preview at $0.134 per 1K or 2K output image and $0.24 per 4K image. Batch output cuts that to $0.067 per 1K or 2K image and $0.12 per 4K image. The other answer most readers need right away is just as important: the pricing page shows no Free Tier for this model.
If you only came for the calculator, use this rule first: estimated output cost = image count × per-image output rate. That means 100 standard 1K or 2K Pro images cost about $13.40, 1,000 cost about $134, and 10,000 cost about $1,340 before extras like image inputs or grounding. If you need 4K, the same volumes become $24, $240, and $2,400. If the workload can wait, batch pricing cuts those totals in half.
One warning before the page goes deeper: many search results mix together Gemini Developer API pricing, Gemini app daily quotas, and older Gemini 3 Pro naming that refers to a different model. This guide is only about the current official API cost of gemini-3-pro-image-preview, with calculator math built from the live Google pricing rows.
TL;DR
Use this table if you want the shortest useful answer before reading the deeper caveats.
| Route | Current official price | 100 images | 1,000 images | 10,000 images | Best use |
|---|---|---|---|---|---|
| Pro standard at 1K or 2K | $0.134 per image | $13.40 | $134 | $1,340 | Interactive premium generation when you need the Pro lane |
| Pro standard at 4K | $0.24 per image | $24 | $240 | $2,400 | High-resolution premium assets |
| Pro batch at 1K or 2K | $0.067 per image | $6.70 | $67 | $670 | Non-urgent premium workloads |
| Pro batch at 4K | $0.12 per image | $12 | $120 | $1,200 | Non-urgent 4K jobs |
| Image input | About $0.0011 per input image | Add separately | Add separately | Add separately | Editing, references, and multi-image composition |
| Free Tier | Not available | - | - | - | This is a paid API lane |
The most important pricing quirk is simple: Gemini 3 Pro Image Preview charges the same output price for 1K and 2K. The real jump happens at 4K. The most important workflow rule is also simple: batch mode is the fastest way to cut cost if you do not need interactive latency.
If your next question is broader than this one model, the better companion page is our Gemini image generation cost guide. If your real decision is Pro versus Flash rather than the cost of Pro itself, go to Gemini 3.1 Flash Image Preview vs Gemini 3 Pro Image Preview.
Current Gemini 3 Pro Image Preview Pricing on the Official API Pages
Google's Gemini Developer API pricing page already gives the core answer, but not in the calculator shape most readers actually want. The page lists gemini-3-pro-image-preview with no Free Tier, $0.134 per 1K or 2K output image, and $0.24 per 4K output image. On the batch route, those numbers become $0.067 and $0.12.
That row matters because it corrects two common mistakes at the same time. The first mistake is assuming 2K must cost more than 1K on Pro. On the current official pricing page, it does not. The second mistake is assuming there is some hidden free API allowance because the broader Gemini ecosystem still has consumer-plan quotas and older preview-model pages floating around. The current official pricing row for Pro is paid-only.
There are two secondary cost lines worth understanding, even though output price dominates most budgets:
| Official Gemini 3 Pro Image Preview pricing item | Current official rate | Why it matters |
|---|---|---|
| Standard output at 1K or 2K | $0.134 per image | Main cost for most interactive Pro jobs |
| Standard output at 4K | $0.24 per image | Main cost for high-resolution premium work |
| Batch output at 1K or 2K | $0.067 per image | Same Pro lane when latency is not important |
| Batch output at 4K | $0.12 per image | Cheapest way to run non-urgent 4K Pro output |
| Image input | About $0.0011 per input image | Relevant when you use edits, references, or composition workflows |
| Grounding with Google Web and Image Search | 5,000 prompts per month free, then $14 per 1,000 search queries | Only matters when grounding is enabled |
The official image-generation guide also explains why the Pro row is expensive enough to deserve its own calculator. Google positions Gemini 3 Pro Image for professional asset production, not as the default high-volume image lane. The same guide says Gemini 3 image models support 1K, 2K, and 4K output, advanced text rendering, and up to 14 reference images. That is the product reason behind the premium price.
This is why the keyword is not solved by one number alone. The price is simple, but the meaning of the price depends on whether you are buying premium image quality, premium instruction handling, or a more complex reference-heavy workflow. If you just need a default current image route, Pro is often not the first model you should choose. This page stays focused on Pro anyway because the search intent is tighter: readers typing this exact model name usually want to know what the premium lane costs before they decide whether it is rational.
Gemini 3 Pro Image Preview Pricing Calculator
The cleanest calculator for this model is not token math. It is image math:
estimated cost = output image count × matching official output rate
Then, only if your workflow includes edits or reference images, add:
reference cost = input image count × about \$0.0011
And only if you enable grounding:
grounding cost = search queries above the free monthly allowance × \$14 / 1,000
For prompt-only generation, the output rate is still the number that drives most budgets. That makes this scenario table more useful than a generic token calculator:
| Workflow | Cost per image | 100 images | 1,000 images | 10,000 images | What this number means |
|---|---|---|---|---|---|
| Pro standard at 1K or 2K | $0.134 | $13.40 | $134 | $1,340 | Best shortcut for most premium interactive jobs |
| Pro standard at 4K | $0.24 | $24 | $240 | $2,400 | Best shortcut for premium high-resolution output |
| Pro batch at 1K or 2K | $0.067 | $6.70 | $67 | $670 | Half-price Pro when the workload can wait |
| Pro batch at 4K | $0.12 | $12 | $120 | $1,200 | Half-price 4K Pro for non-urgent pipelines |
That table already answers most practical budgeting questions. A team that needs 1,000 2K assets on the standard route is looking at about $134 in output cost. A team that can move the same workload into batch mode is looking at about $67. A team insisting on 4K standard output is looking at about $240.
The better budgeting habit is not to memorize every row. It is to make three choices in order:
- Decide whether you need standard or batch latency.
- Decide whether you actually need 4K, or whether 1K or 2K is enough.
- Add image-input or grounding charges only if your workflow really uses them.
That ordering matters because most pages waste the reader's attention on token theory before answering the real spending question. For this model, output price is the main budgeting lever. If you are generating posters, diagrams, or marketing assets with reference images, the input and grounding extras are real, but they are still secondary to the output row in most normal planning math.
One more practical caution: these totals are derived from Google's current published rates. They are not a separate official "project budget" table from Google. That distinction is worth keeping explicit because pricing pages change, and a calculator article should be honest about where its scenario totals come from.
API Pricing vs Gemini App Quotas
Many pages ranking for this keyword family collapse the hardest part of the problem into one vague sentence about "Nano Banana Pro pricing." That is how readers end up mixing together two different product surfaces.
On the Gemini Developer API side, the answer is pay-as-you-go pricing for gemini-3-pro-image-preview. The current official pricing page says there is no Free Tier for that model.
On the Gemini app side, Google's Gemini Apps help page lists daily image-generation and redo limits for Nano Banana 2 and Nano Banana Pro by plan, and it warns that those limits may change frequently and reset daily. Those limits are useful if your real question is "what do I get inside the app subscription?" They are not the same thing as the Gemini Developer API price you would use for production budgeting.
That distinction matters because the calculator changes completely depending on which surface you are on:
- app question: daily quota and subscription value
- API question: per-image cost and throughput
If you mix those together, you get nonsense budgeting. A daily app quota is not a per-image API rate. A paid API row is not a consumer-plan entitlement. This is one of the main reasons the current SERP still feels more confusing than it should for such a simple exact-match query.
If your actual question is whether there is any currently usable free route for Gemini image generation more broadly, the better next read is Gemini image free tier 2026. That page is about the broader free-versus-paid question. This page is narrower: it exists to tell you what Pro costs on the API and how to estimate the bill quickly.
When Pro Is Worth It and When Flash Image Is the Better Route
The clean answer here is not "Pro is best." The clean answer is "Pro is worth paying for when the image is expensive to get wrong."
That usually means:
- text-heavy diagrams, posters, menus, or editorial assets
- premium creative where retry cost is already meaningful
- grounded image workflows where real-time search context matters
- multi-reference compositions where stronger reasoning and adherence justify the premium
If that is not your situation, you should usually start with gemini-3.1-flash-image-preview. Google's own image-generation docs position Flash Image as the speed and high-volume route, which is a stronger routing signal than most generic pricing pages admit.
| Situation | Better route | Why |
|---|---|---|
| You need the cheapest premium-quality lane within Pro itself | Pro batch | Same model, lower cost, slower turnaround |
| You need premium image quality with interactive turnaround | Pro standard | Best fit when latency matters and the asset matters |
| You are cost-sensitive and generating at volume | Flash Image | Better default for most new builds that do not need Pro-level premium handling |
| You are unsure whether 4K is necessary | Start at Pro 1K or 2K | The 4K jump is where the real price premium lands |
The useful way to read the calculator is not "how much would Pro cost if I used it for everything?" It is "how much would Pro cost if I reserved it for the workflows that actually need it?" In many teams, that is the budgeting rule that saves the most money. Flash handles the broad, high-volume layer. Pro handles the more sensitive output layer where the cost of a weak result is already high enough to justify a premium model.
If your next question is the exact split between those two model lanes rather than the cost math alone, use Gemini 3.1 Flash Image Preview vs Gemini 3 Pro Image Preview. That page is the better place for a full model-routing decision. This calculator page is here to make the Pro budget side concrete.
Billing, Preview-Status, and Freshness Caveats
There are three current caveats worth keeping in view before you treat this as a settled evergreen price.
The first is billing. Google's current billing guide says Prepay and Postpay billing plans start taking effect March 23, 2026. It also says new paid-tier setups usually require at least $10 in prepaid credits, and if the Prepay balance hits $0, all API keys tied to that billing account stop working. That does not change the per-image price, but it does change how teams should think about activation and service continuity.
The second is rate limits. Google's rate-limits page says requests per day reset at midnight Pacific time, current active limits can be viewed in AI Studio, and preview models may have more restrictive limits. So if you are trying to convert price into throughput capacity, you still need to check your own account's current tier. The calculator here estimates spend, not guaranteed throughput.
The third is naming and preview status. Google's deprecations table lists gemini-3-pro-image-preview as a preview model released on November 20, 2025 with no shutdown date announced. The same table says gemini-3-pro-preview shut down on March 9, 2026, but that was a different text model. A lot of stale pages and screenshots drop the -image- part and make the whole topic harder than it needs to be. If a page does not keep that distinction clear, do not trust its currentness automatically.
This is also where community friction matters in the right way. Developer forum threads currently show that preview-surface rough edges still exist around things like requested image size behavior in some SDK workflows. That kind of report does not override the official pricing page, but it is a good reason to keep your capability expectations slightly more conservative than a polished launch page might suggest.
If your real blocker is throughput rather than cost, the better follow-up is Gemini API rate limit explained. This page should stay focused on one job: turning the current official Pro price into a trustworthy budget shortcut.
FAQ
Does Gemini 3 Pro Image Preview have a free API tier?
No. As checked on March 24, 2026, the official Gemini Developer API pricing page lists Free Tier as not available for gemini-3-pro-image-preview.
How much do 1,000 Gemini 3 Pro Image Preview images cost?
About $134 at the current standard 1K or 2K rate, $240 at the standard 4K rate, $67 at the batch 1K or 2K rate, and $120 at the batch 4K rate. Those totals cover output cost only.
Does 2K cost more than 1K on Gemini 3 Pro Image Preview?
Not on the current official pricing page checked for this article. Google currently prices 1K and 2K output at the same $0.134 standard rate and the same $0.067 batch rate.
When should I use batch pricing instead of standard pricing?
Use batch when the workload is not latency-sensitive. It is the clearest official cost-saving lever because it cuts the Pro output price in half.
Do Gemini app Nano Banana Pro limits count as Gemini API pricing?
No. Gemini app limits are consumer-product quotas. They are useful for app users, but they are not the same thing as Gemini Developer API billing.
Should I use Pro or Flash Image?
Start with Flash Image for most cost-sensitive or high-volume work. Pay for Pro when the image is expensive to get wrong: premium creative, complex reference-heavy prompts, or text-heavy assets where better adherence is worth the premium.
Bottom Line
The calculator answer is simple even if the surrounding ecosystem is noisy.
As checked on March 24, 2026, the official Gemini Developer API price for gemini-3-pro-image-preview is $0.134 per 1K or 2K image and $0.24 per 4K image, with batch pricing cutting those rates in half and no Free Tier on the API pricing page. Multiply those rows by the number of images you actually plan to generate, then add image-input or grounding costs only if your workflow truly uses them.
The better operational rule is just as important as the raw price: use Pro when premium output quality or complex workflows justify it, use batch whenever the workload can wait, and do not mix Gemini app quotas or stale gemini-3-pro-preview pages into an API budget decision.