Low-Code Technology
Nano Banana
Understand what Google's nano banana reveals about AI. See how Gemini 1.5 transforms low-code projects with efficiency and minimal data.
Start your project nowAbout Nano Banana
nano banana is an experiment that demonstrated Google's Gemini 1.5 model's ability to correctly identify the content of an image with just 48 bytes. The feat showed how generative artificial intelligence is becoming more efficient, able to work with minimal amounts of data and still deliver accurate answers.
This evolution marks an important leap for anyone building digital products with low-code, no-code, or embedded AI, enabling faster, lighter, and more scalable experiences.
With the trend toward lower data usage and improved inference, technologies like this become essential for building AI solutions even in contexts with limited infrastructure or incomplete data flows.
Pros
Cons
Who it is for
Currently, Gemini 1.5 is tied to the Google Cloud platform and accessed via API. The cost varies according to the volume of calls and processing, making it ideal for companies looking to scale AI solutions securely and in a customizable way.
Although still in early adoption across much of the market, access to models like Gemini is expected to become more affordable in the coming months.
Pricing
Gemini 1.5 Starter Plan
Price: US$0.000125/token
Limit: Billed per token generated and interpreted
Hosting: Exclusively via Google Cloud
Extra features: Use of image, text, and multimodal data with limited input
Gemini 1.5 Business Plan
Price: Variable by volume
Limit: Broader tokenization and support for larger contexts
Hosting: Google Cloud + hybrid environments
Extra features: Optimized performance, reduced latency, and enterprise SLAs
Gemini 1.5 Enterprise Plan
Price: On request
Limit: Expansive tokenization, advanced multimodal support
Hosting: Self-hosted (in beta) or via Google Cloud
Extra features: Custom models, advanced security, Vertex AI integration, dedicated support
Conclusion
Google's nano banana is not just a curious technical demo but a landmark that signals the future of artificial intelligence: lighter, more efficient, and more accessible.
With the advance of models like Gemini 1.5, a new possibility opens up for companies looking to apply generative AI in no-code and low-code flows, without depending on large volumes of data or complex structures.
For anyone building digital products, now is the time to experiment, prototype, and explore new AI-assisted experiences, even in contexts with little information.
At Flowcode, we keep a close eye on these movements to turn technological advances into practical solutions. If you want to understand how to take advantage of this new standard of AI efficiency, talk to us.
Frequently asked questions
A FlowCode desenvolve com Nano Banana?
Sim. Nano Banana faz parte do arsenal da FlowCode — usamos quando é a melhor escolha para o problema, combinando com outras tecnologias quando faz sentido.
Quanto custa um projeto com Nano Banana?
Trabalhamos com time de tecnologia sob demanda a partir de R$ 5.000/mês (R$ 100/h), ou plano ilimitado a R$ 20.000/mês. O escopo é fechado numa conversa inicial.
Em quanto tempo fica pronto?
Semanas, não meses. As primeiras entregas saem já nas primeiras semanas e o projeto evolui de forma contínua a partir daí.
Como escolher entre Nano Banana e outras tecnologias?
A escolha é guiada pelo resultado, não por uma stack fixa. No Discovery mapeamos a necessidade e recomendamos a combinação certa — inclusive dizer que outra ferramenta serve melhor.
Get in touch
Tell us what you need to build. We reply with a possible path — not an automated form response.
- Reply within 1 business dayA person reads what you wrote and answers. No triage bot.
- No-strings conversationThe first call is to understand the problem. We only talk pricing when it makes sense.
- You talk to who builds itThe person answering is on the team that will work on your project.