Best forBest starting point for high-volume generation, repeated edits, posters, infographics, and product variations.
Per image · 1K and 4K list rates
1K$0.0336$0.02016/img−40%
4K$0.113$0.0678/img−40%
// Image model comparisonView model page
Nano Banana 2.1vsNano Banana Pro
You can generate and edit images with Nano Banana 2.1 and Nano Banana Pro on GPTProto. Both can generate and edit images at up to 4K, but they target different starting points. Nano Banana 2.1 is Google’s newer, Flash-level efficient model for frequent generation and iterative edits. Nano Banana Pro is its reasoning-driven model positioned for professional graphics, high-fidelity mockups, and complex visual briefs. The Pro name is not a guarantee that it wins every image task.
The short answer: start with Nano Banana 2.1 when you need to produce and revise many images at a lower per-image cost. Test Nano Banana Pro when a demanding layout, localized text, or product concept justifies a second candidate. Judge the actual outputs against your brief before choosing a production default.
View model page
Best forA candidate for professional asset production, detailed layout, readable text, and high-fidelity product mockups.
Per image · 1K and 4K list rates
1K$0.134$0.0804/img−40%
4K$0.24$0.144/img−40%
// Side by side
Nano Banana 2.1 vs ProAt a Glance.
GPTProto rates below are the catalog per-image prices checked on October 13, 2026, not a promise about future pricing. Official list prices are the size rows in ext_price_model_config; GPTProto applies price_multiplication 0.6. Check the live model pages for the route you plan to call.
Spec
Nano Banana 2.1
Nano Banana Pro
Provider
Google
Google
Google model
Gemini Nano Banana 2.1
Gemini 3 Pro Image
Release date
October 6, 2026
November 20, 2025
Google model code
gemini-nano-banana-2.1
gemini-3-pro-image
Model ID
gemini-nano-banana-2.1
gemini-3-pro-image-preview
Availability
99.4%
Last 7 days98.6%
Last 7 days1K image
$0.02016$0.0336 official list
$0.0804$0.134 official list
2K image
$0.03024$0.0504 official list
$0.0804$0.134 official list
4K image
$0.0678$0.113 official list
$0.144$0.24 official list
You save
−40%vs Google list price
−40%vs Google list price
Output sizes
1K, 2K, 4K
1K, 2K, 4K
GPTProto routes
Text to imageImage edit
Text to imageImage edit
Best starting point
Frequent generation and iterative editing
Complex professional asset briefs
Positioning
Flash-level efficiency; improved text and consistency
Reasoning-driven design and creative control
Accepts
TEXTIMAGE
TEXTIMAGE
Returns
IMAGE
IMAGE
No prompt training
YesGPTProto Privacy Policy §5.2
YesGPTProto Privacy Policy §5.2
In the catalog since
Oct 2026
Nov 2025
API usage
curl https://gptproto.com/api/v3/google/gemini-nano-banana-2.1/text-to-image \
-H "Authorization: Bearer $GPTPROTO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A product photo on a white background",
"resolution": "1k"
}'curl https://gptproto.com/api/v3/google/gemini-3-pro-image-preview/text-to-image \
-H "Authorization: Bearer $GPTPROTO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A product photo on a white background",
"resolution": "1k"
}'Per image. Catalog snapshot 2026-10-14. Google’s direct-API model code is separate from the identifier in GPTProto’s endpoint path.
// Price comparison
Price per Image.Start With the Output Size.
At the listed GPTProto 1K rates, Nano Banana 2.1 costs $0.02016 per image and Nano Banana Pro costs $0.0804 — about four times as much for the same 1K output size. For 1,000 successful 1K images, those displayed base rates imply about $20.16 versus $80.40 before retries or other charges. That comparison changes if you switch resolution, use a different route, or need multiple generations to get an approved asset.
The same catalog discount applies at larger sizes. Nano Banana 2.1 is $0.03024 at 2K and $0.0678 at 4K. Nano Banana Pro is $0.0804 at 2K (the same list price as 1K) and $0.144 at 4K. Do not compare a 1K draft from one model with a 4K final from the other. Fix the resolution, aspect ratio, prompt, and acceptance criteria first; then count how many attempts each model takes to deliver a usable image.
Check the live Nano Banana 2.1 price and Nano Banana Pro price for the settings you plan to use.
// Savings calculator
Run Your Own Numbers.Not Ours.
Multiply the same image count by each model’s GPTProto rate for the selected output size to estimate base generation cost. For a production budget, add the average number of draft iterations, edits, and rejected outputs per approved image.
Pricing model
Output size
images
You keep, per year
$161.28
Monthly run rateOfficialGPTProtoSave
Images$33.60$20.16$13.44
Per year$403.20$241.92$161.28
Excludes top-up bonus credits and retries. A more expensive model can be cheaper per approved asset if it reduces rework — measure that, don’t assume it.
// Routes & references
Editing, References,and 4K Output.
Google describes Nano Banana 2.1 as retaining Flash-level speed and cost efficiency. Nano Banana Pro is positioned around reasoning-led professional image work. These are product descriptions, not a measured GPTProto latency comparison. Generate the same prompts through both live routes if response time affects your application.
Spec
Nano Banana 2.1
Nano Banana Pro
Text-to-image
Supported
Supported
Image edit
Supported
Supported
Output sizes
1K, 2K, 4K
1K, 2K, 4K
Reference images on GPTProto
Up to 8
Up to 8
Google documented references
Up to 14
Multi-reference
Thinking
ConfigurableOpenRouter efforts: minimal (default), high
Always onOpenRouter lists reasoning as mandatory
No prompt training
YesGPTProto Privacy Policy §5.2
YesGPTProto Privacy Policy §5.2
GPTProto image-edit capabilities list up to 8 reference images for both models. Google’s own 14-image figure for Nano Banana 2.1 is not the same as the platform route limit.
// Top-upOne Balance.
One Balance.
Both Image Models.
Use one GPTProto account to test the same brief on both models at their displayed per-image rates. Top up once, then compare approved assets rather than the first render.
$15
Straight credit · no bonus
Get started. Great for testing the endpoint and trying new models.
Most Popular
$100
+4% bonus credits
The sweet spot for individual developers and small projects shipping to production.
Max Savings · +6%
$1,000
+6% bonus credits
Built for teams running production workloads. Bonus credits stack on already-discounted model pricing.
Running 100M tokens/month on Nano Banana Pro? At GPTProto pricing, that’s roughly $64.32 saved per year vs official pricing — before bonus credits.
// Quality & benchmarks
Speed, Quality,and What Pro Does Not Prove.
The newer model is not simply a cheaper downgrade. In Google DeepMind’s October 2026 model-card evaluations, Nano Banana 2.1 with thinking scored above Nano Banana Pro on several reported text-to-image and editing measures. Those scores describe Google’s evaluation setup; they do not predict every campaign, product photo, or GPTProto request. Use your own brief and a human review rubric.
Spec
Nano Banana 2.1
Nano Banana Pro
Design Arena · Image
—
1244 Elo#5 in category
Design Arena · Image editing
—
1252 Elo#3 in category
Design Arena · Graphic design
—
1251 Elo#5 in category
Design Arena · Logo
—
1240 Elo#6 in category
Design Arena image categories as listed on OpenRouter for Nano Banana Pro, 2026-10-14. Nano Banana 2.1 had no Design Arena ranks on that check.
// Verdict
Which Model FitsYour Image Workflow?
Draft on the cheaper model, then spend the Pro rate only where a test shows it.
Nano Banana 2.1gemini-nano-banana-2.1
Choose Nano Banana 2.1 for frequent creation and revision
- Start here for batches of product variations, social assets, posters, multilingual mockups, and infographics that will go through several rounds of feedback.
- Google documents improvements to visual realism, instruction following, text rendering, and multi-turn character consistency.
- Its 1K, 2K, and 4K options let you draft cheaply and render at the size the final asset needs.
Nano Banana Progemini-3-pro-image-preview
Test Nano Banana Pro for demanding briefs
- Add Pro to the test when your output requires a complex composition, a high-fidelity product mockup, factual visual material, or tight control over a branded look.
- Google positions Gemini 3 Pro Image for professional asset production and complex instructions.
- Review the rendered text, object details, and layout rather than assuming the premium tier wins automatically.
Use both for different stages
An efficient workflow may use Nano Banana 2.1 for concept exploration and revisions, then compare a shortlisted final brief against Pro. Keep the prompt and reference set consistent in the final test. If Nano Banana 2.1 meets your quality bar, keep it as your production default and use Pro only where your tests show a clear benefit.
// Editing
Editing, References,and 4K Output.
Both model pages include a text-to-image route and a separate image-edit route. Google documents up to 14 reference images for Nano Banana 2.1 — up to 10 object references and four characters — and describes multi-reference editing for Pro. Both GPTProto pages list 1K, 2K, and 4K output. The ready image-edit capability on GPTProto lists a maximum of 8 reference images for each model. Confirm the exact accepted inputs in the API Usage panel; underlying Google model capabilities do not automatically mean every control is exposed.
Open the Nano Banana 2.1 image-edit route or the Nano Banana Pro image-edit route to check the live request schema.
// How to decide
How to Make a FairSide-by-Side Test.
Use a small set of real prompts: a clean product image, a multi-reference edit, a text-heavy graphic, and the hardest composition in your workflow. Match aspect ratio, resolution, references, and instructions. Score text accuracy, object and character consistency, layout, unwanted changes, generation time, and number of attempts to approval. Review the final image at its intended display size. Neither model guarantees correct small print, factual labels, or perfect preservation of a referenced subject.
When speed and throughput matter, run enough examples to see typical completion time rather than relying on a single result. When factual accuracy matters, verify the generated content separately before publishing.
// Get started
Create and Edit Imageson GPTProto.
Open either model page for a Playground, API examples, and current per-image pricing. Use one GPTProto account to test the same brief, compare the output, and choose the model — or routing rule — that produces approved assets at an acceptable cost. Explore GPTProto image tools. Browse Google image models.
// FAQ
Nano Banana 2.1 vs Pro.Straight Answers.
01Is Nano Banana 2.1 cheaper than Nano Banana Pro on GPTProto?
Yes for the listed 1K image rates checked on October 13, 2026: $0.02016 for Nano Banana 2.1 versus $0.0804 for Nano Banana Pro. That is a per-image comparison for the same output size, not a flat price for every resolution. 2K is $0.03024 versus $0.0804, and 4K is $0.0678 versus $0.144. Check both live model pages before budgeting.
02Is Nano Banana Pro always better quality?
No. Google positions Pro for professional, complex image work, but its October 2026 model-card evaluations report Nano Banana 2.1 ahead on several image and editing measures. Test the same brief on both. The better result depends on the task, settings, and acceptance criteria.
03Can both models generate and edit 4K images?
Both GPTProto model pages list 1K, 2K, and 4K output and provide generation and image-edit routes. Select the resolution and route shown in the relevant API Usage panel, and confirm the live price for that output size.
04Which endpoint should I use on GPTProto?
GPTProto uses model-specific endpoint paths: /api/v3/google/gemini-nano-banana-2.1/text-to-image and /api/v3/google/gemini-3-pro-image-preview/text-to-image for generation, with /image-edit replacing /text-to-image for editing. Its examples do not require a model field in the body. Copy the full endpoint and supported fields from the relevant API Usage panel.
05Which model should I start with for product images or infographics?
Start with Nano Banana 2.1 when you need many variants or frequent revisions at a lower listed per-image cost. Include Nano Banana Pro in a final test if the asset has unusually complex layout, brand, or factual requirements. Inspect the generated text and product details before publishing either result.
06Can I access both models through GPTProto?
Yes. The catalog includes pages for Nano Banana 2.1 and Nano Banana Pro, each with API examples, a Playground, and current pricing. The Google model catalog shows the current lineup.
// Social proof
See how others use GPTProto.
Creators and developers share the models and workflows they built with.
BL#Routing
Blogstra
Reddit · r/Bloggers
For a team already juggling DeepSeek, Kimi, Qwen, or other providers, a shared routing layer can be reasonable if it removes duplicated work and the fallback behavior is tested. GPTProto is one implementation of this approach.
K
#Cost
K
X (Twitter) · @ChillaiKalan__
I've been testing GPTProto recently, and it's honestly made my creative workflow much simpler. Instead of paying for multiple subscriptions, I can access several leading AI models from one place.
SN
#Video
Sanskriti Naruka
X (Twitter) · @snskritinaruka
I turned this single prompt into a cinematic fantasy video using GPTProto. "Continuous 15-second cinematic shot, 4K resolution, hyper-realistic dark fantasy photorealism…"
CF
#Video
Caden Flux
X (Twitter) · @Caden_Flux
I challenged myself to create a cinematic AI cooking short in just 15 seconds. I used GPTProto to bring the entire workflow together, from image generation to video, all in one place.
Z
#Creative
Zara
X (Twitter) · @ZaraIrahh
Made with Seedance 2.0 + GPT Image 2 on GPTProto. A Pixar-style commercial with the perfect glow.
MO#Integration
Many-Operation2625
Reddit · r/LLMDevs
What worked for me was pointing the cloud connections at GPTProto so the frontend only sees one endpoint and I just change the model name to swap. I am not rebuilding a connection from scratch every time.
OB#Resilience
obxsurfer06
Reddit · r/singularity
I route the calls through GPTProto so a fallback is a config switch instead of a weekend rewrite when a model disappears. It turns "my default model just got export controlled" from an incident into a config change.
AL
#Models
Alice The Ai Expert
X (Twitter) · @AliceInfoAi
I used to switch between different AI tools just to compare results. Now I just use GPTProto. GPT-5, Claude, Gemini, Kimi, and more — all in one workspace.
EB#DevOps
EntireBig7258
Reddit · r/LLMDevs
I route the calls through GPTProto so the model id and latency land in one place regardless of which provider is behind it. The win is having the log schema consistent across providers.
AL
#Video
Alamin
X (Twitter) · @iam_chonchol
I created this 15-second cinematic product video with GPTProto using Seedance 2.0, and I was really impressed by how smooth the workflow was.
F
#Workflow
Fokki
X (Twitter) · @0x_fokki
GPTProto routes the character prompt and shot list to a top model on one API key: 20 minutes … voices it and burns in captions from the same key: 20 minutes.
FA#Apps
FormalAd4696
Reddit · r/SillyTavernAI
Text, images, and voice are configured separately. You can keep OpenRouter for text and use GPTProto for visuals.
AF#Teams
Any-Farm-1033
Reddit · r/EngineeringManagers
The call layer underneath the router is GPTProto, so swapping a model does not require provisioning a new provider integration. Changing models becomes cheap enough that the question stops being "should we change."
// From the blog
View all posts →AI Model Guides.Practical API Tutorials.
Compare models, learn API setup, and explore image and video workflows for real projects.
// Get started
Your next 100,000,000 tokensshouldn't cost full price.
Create images and videos online, or bring text, image, and video models into your app with one API key. Explore discounted rates on selected models.
- ✓OpenAI-compatible
- ✓200+ models
- ✓10–30% lower than official
- ✓High uptime, auto-failover
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