Open AI Models No Longer Require Restriction!
In the ever-evolving world of artificial intelligence, open-source models are making significant strides, offering practical and cost-effective alternatives to high-priced closed models. Here's a roundup of the top free open-source AI models that are making waves across coding, writing, reasoning, multimodal tasks, and mobile use in 2025.
For coders, GitHub Copilot stands out, offering free access to verified students, teachers, and open-source software maintainers. This AI model utilises large public codebases to assist in code generation, debugging, and recommendations, making it a valuable tool for real-world programming needs.
In the realm of writing, Raptor Write is a simple and free AI writing assistant, ideal for beginners. While less powerful than some other options, it is practical for general writing tasks. For creative writers seeking deeper control or higher-quality output, Novelcrafter and Sudowrite (paid/free hybrids) might be more suitable.
When it comes to reasoning, OpenAI's GPT-3.5, the free tier of ChatGPT, is a popular choice. Capable of complex reasoning, it is widely used in various domains. Another notable mention is Anthropic Claude, known for its comprehensive, careful prose and reasoning.
In the multimodal category, OpenAI's GPT-4V is a vision-enabled variant of GPT-4, capable of performing image + text tasks, analysing charts, memes, and providing descriptions. It integrates with plugins for tasks like image generation. Google Gemini is another notable multimodal model, handling text and images with strong informational writing speed and accuracy.
For mobile tasks, the ChatGPT mobile apps offer voice interaction, vision processing, and text generation, making them practical for on-the-go usage.
It's important to note that while open-source models like Gemma 3n 4B are designed for efficient edge deployment and mobile inference, offering features like image captioning, visual question answering, and document OCR + summarization, they may still lag behind leading closed models in terms of plug-and-play user experience.
Despite these limitations, the shift towards open-source models is significant. They offer flexibility and adaptability to the requirements of the user, making them the next default. Open-source models also provide control over privacy, cost, customisation, and architecture compared to closed models.
As we move forward, the open-source ecosystem is evolving rapidly, with new checkpoints dropping every month, bringing better data, better licenses, and smaller hardware needs. The future of AI is open, and these models are paving the way.
[1] Industry Updates and Competitive Analysis [2] OpenAI Research Blog [3] TechCrunch [4] VentureBeat [5] The Verge
- In the field of programming and coding, technology like GitHub Copilot has expanded access for students, teachers, and open-source maintainers, using codebases to assist with code generation, debugging, and recommendations, making it a crucial component for real-world programming tasks.
- For mobile-focused AI tasks, technology such as ChatGPT mobile apps has made an impact, offering voice interaction, vision processing, and text generation, making them suitable for users on the go by minimizing the need for extensive hardware.
