Looking for a Free and Fast AI Model for Spring Boot
Hey everyone!
I’m a Spring Boot and JavaScript developer currently working on a practice project using AI models.
In JavaScript, I used a free ChatGPT package, and it gave instant responses. But in Spring Boot, I’ve been trying models like Ollama, DeepSeek, and Mistral — the issue is that they take a lot of time to respond because they’re heavy models.
I’m looking for a free AI model that can work with Spring Boot and provide fast responses, similar to how ChatGPT works in JavaScript.
Has anyone found a good lightweight or fast model for Spring Boot?
Thanks in advance!
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For the most part, a model that works in one language probably also works in another
and the "models" you mentioned aren't just single models but they come in various forms. There are many DeepSeek models, many Mistral models, many Llama models
and if you can use some ChatGPT APIs with JS, that should also be possible with Spring Boot
Yes, you’re absolutely right but I’m not using cloud-based models; I’m using Ollama, a locally hosted tool. I’ve tried Mistral 4.4 and DeepSeek, but their responses are quite slow because they’re heavy models. Also, ChatGPT doesn’t run locally, which is why I want you to suggest a mini model that can give fast and efficient responses, either locally or on the cloud but it should be free and available for long-term use.
In JavaScript, the GPT Node package works great it’s free, fast, and efficient I want something similar for my case.
Well the thing you used in JS also doesn't rub locally I think? And whatever model or API it uses should also be available with Spring aboot
and maybe there are lighter Mistral or DeepSeek versions?
and depending on the task you are doing, there may be smaller but specialized models
for example things like https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices
Introducing Liquid Nanos — frontier‑grade performance on everyd...
We’re launching Liquid Nanos — a family of 350M–2.6B parameter foundation models that deliver frontier‑model quality on specialized, agentic tasks while running directly on phones, laptops, and embedded devices. In our evaluations with partners, Nanos perform competitively with models hundreds of times larger. The result: planet‑scale ...
You’re absolutely right the GPT model I used in JavaScript was cloud-based and worked through its package. But in Spring Boot, I used Ollama locally and tried DeepSeek and Mistral. However, due to their heavy size, the response was slow.
Now I’ve switched to phi3:mini, and it’s fast and efficient I’m really satisfied with its performance. Also, I’m currently reading the Liquid Nanos blog you shared, and I’ll definitely share my review with you once I’m done.
Thank you for your help!
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then what stops you from using the same cloud APIs from Spring Boot?
The JS package just calls some APIs with some API key - that isn't specific to a programming language
btw regarding the Liquid nanos: idk whether you can easily use them
I did some R&D and found that the model I used in Node.js (npm i gpt4free-js) works fine. So, I wanted to find a similar GPT model for Spring Boot, but I couldn’t find any free cloud-based option most of them were paid.
That’s why I explored further and found that by using the Ollama tool, I could run models locally for free. So, I tried several models like DeepSeek, Mistral, and Phi-3 Mini.
Now, I’m going to read more about Liquid Nanos to understand its structure, and I’ll share my findings with you soon.
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