When a small business looks to spend less on technology, no one is surprised. But when companies the size of Airbnb, DoorDash or Siemens do it, it's worth paying attention. The signal is clear: the AI conversation is no longer just about power; It is also efficiency.
According to business press reports, several companies are evaluating or adopting cheaper models for certain tasks, including alternatives such as DeepSeek or Qwen. The reason is not ideological. It's financial.
what's happening
In recent years, many companies first looked at the so-called “frontier” models: very powerful, very capable and also more expensive. When use became daily and massive, the bills grew.
At the same time, cheaper alternatives appeared that are good enough for many tasks: classifying messages, summarizing documents, writing drafts, organizing data or answering frequently asked questions with clear rules.
The real lesson for your business
If huge companies are reviewing which model to use for each task, an SME across different markets has even more reason to do so. You don't have to pay for fancy technology to solve simple tasks.
- Not all tasks need the premium model. The simple must be solved in a simple way.
- It is not advisable to marry a single provider. The market changes quickly and your architecture must allow for change.
- The real savings come from the design. Not only the price of the model, but how it is used in the process.
Cheap does not mean “for everything”
It would be irresponsible to say that you should always use the cheapest. There is data that should not be sent to any service: financial information, sensitive personal data, internal documents or high-risk decisions.
The correct question is: What level of cost, quality and confidentiality does this task require?
Volume tasks
Ranking, drafts, summaries and frequently asked answers can use quick and inexpensive options.
Sensitive tasks
Sensitive data, critical decisions or complex cases require more control, human validation and privacy.
What it means for international markets
The good news is that AI is becoming more accessible. There is no longer a need to pay Silicon Valley prices for each task. But taking advantage of that advantage requires technical judgment and business knowledge.
In a local company, this strategy can be applied to WhatsApp, quotes, reports, inventory, documents and commercial monitoring.
At Ezelero we do it like this
We do not work married to a single brand. We design the process, we define which tasks are simple, which are sensitive and which tool is appropriate at each point. The goal is not to use the most famous AI, but the one that gives the best results at the right cost.
Efficient AI is neither the cheapest nor the most expensive. It is the one that does the right task well with the least possible risk.
Ezelero editorial article based on international economic press reports on AI model selection, costs, DeepSeek, Qwen and multi-vendor strategies. It is not recommended to send sensitive data to services without prior evaluation.
Frequently asked questions
Should I always use the most powerful AI model?
No. Many simple tasks can be solved with cheaper models. The important thing is to balance cost, quality, speed and confidentiality.
Why not depend on a single AI provider?
Because prices, rules and capacities change. A flexible architecture allows you to choose the best option for each task.
Are the cheapest models suitable for sensitive data?
Not always. Sensitive data must be treated with privacy, security and control criteria. Sometimes it is better to pay more for a more protected environment.
Do you want to apply AI with numbers, not smoke?
We review your current process, choose a small pilot and define how to measure if it really suits your company.