You cannot skip a day of learning if you want to AI roleplay stay updated with all AI-related knowledge – whether it’s new models, smarter tools, or figuring out the best infrastructure for deploying AI models. The AI makes asking for coding help quick and productive, especially when working in context. That’s why it’s so disappointing that the code the AI outputs is often very wrong. While DeepSeek R1 is the new reasoning hotness from China that has all the pundits punditing, the real power right now (at least according to our tests) is DeepSeek V3. This chatbot passed almost all of our coding tests, doing as well as the (now mostly discontinued) ChatGPT 3.5. I’m threading a pretty fine needle here, but because Perplexity AI’s free version is based on GPT-3.5, the test results were measurably better than the other AI chatbots.
Openai Code Interpreter (chatgpt)
It’s lightweight, fast, and optimized for tasks like summarization, translation, and Q&A. It supports over 100 languages, making it ideal for global content creation, multilingual workflows, and use cases powered by AI writing assistant software, such as those featured on Spotsaas. The AI landscape in 2025 has reached unprecedented maturity, with powerful models becoming essential tools for modern software development.
AI models can be categorized into several types based on how they learn, the tasks they perform, and their applications. There are computer vision models for tasks such as vision-language, object detection, classification, keypoint detection, instance segmentation, and semantic segmentation. According to OpenAI, o3 is designed to handle tasks with more analytical thinking, problem-solving and complex reasoning and will improve o1’s capabilities and performance. Gemma is a family of open-source language models from Google that were trained on the same resources as Gemini. Gemma 2 was released in June 2024 in two sizes — a 9 billion parameter model and a 27 billion parameter model. Gemma 3 was released in March 2025, with 1B, 4B, 12B and 27B versions, and has expanded capabilities.
Work With Apps By Chatgpt
It’s ideal for overcoming writer’s block, generating fresh ideas, and crafting more vivid narratives. It’s been around since early 2022 and is still often favored for its painterly aesthetic and for creating source images for image-to-video generation. Remember when everyone was generating Studio Ghibli–style AI images of themselves, their pets, and anything else they could think of? Google’s Veo is an impressive tool for generating creative AI videos, capable of producing visuals for almost anything—though its content moderation is fairly strict.
Gemini Pro can near-perfect process hard prompts and follow instructions, making it suitable for professional-grade tools and large-scale applications. Gpt-4o offers a shift in how AI models interact with multimodal inputs. By seamlessly combining text, images, and audio, gpt-4o provides a richer, more engaging user experience. The AI vision landscape in 2025 offers a diverse array of models, each tailored to specific needs. Qwen 2.5 VL delivers unparalleled performance for high-quality applications, while Moondream excels in gaze detection and structured outputs. SmolVLM provides lightweight efficiency for on-device tasks, and Florence 2 remains a balanced option for general-purpose use.
Organizations should actively engage with documentation, user communities, and educational resources to stay current with developments in AI model applications and implementation techniques. The AI model comparison process should include practical testing whenever possible. Most providers offer trial access or free tiers that allow organizations to evaluate performance on representative tasks before committing to larger implementations. These hands-on evaluations often reveal practical considerations that aren’t apparent from marketing materials or technical specifications alone. When working with Grok 3, users report the best results when providing clear problem specifications and, when relevant, sample code that illustrates the desired approach or style. This allows the model to leverage its strong technical capabilities while aligning outputs with specific project requirements and coding standards.
Of course, the 11 chatbots that we’ve featured in this article aren’t the only chatbots out there. Some companies have built AI chatbots straight into their apps, like Snapchat did in February of last year with “My AI”. Unlike ChatGPT, Perplexity AI’s language models are grounded in web search data and therefore have no knowledge cut-off. The latest Grok language mode, Grok-1, is reportedly made up of 63.2 billion parameters, which makes it one of the smaller large language models powering competing chatbots.
That introduces latency in their response times, but makes them more effective at completing complex tasks. Many developers prefer these more deliberative models for particular tasks. Clearly.ai delivers AI tools for data analysis geared towards small businesses, focusing on forecasting and actionable insights.
If you’re happy to spend some time doing that, though, it’ll be much more helpful for personal development than a more general-use tool like ChatGPT or Claude. When you log in to Personal AI for the first time, it’ll ask you if you want to create a person for your professional life, personal life, or an “author”. You’ll need to upgrade to a different plan to create a personal AI for work, but the personal option is free.
It’s an innovative tool for storytellers, gamers, and those who love interactive, creative conversations. During my tests, Perplexity.ai was consistently able to tackle complex, multi-layered questions. Whether it was explaining intricate concepts, summarizing large amounts of information, or providing clear guidance on specific topics, the AI delivered detailed, tailored responses with impressive speed. ChatGPT, built on OpenAI’s GPT-4 architecture, is arguably the most well-rounded conversational AI available today. I used ChatGPT for various tasks, including content creation, answering technical questions, and brainstorming ideas, and it performed at a high level in all instances.
At work, I regularly drop in PDFs, spreadsheets, screenshots—you name it—and ask ChatGPT to summarize, analyze, or extract data. Just recently, I uploaded a screenshot of a funnel analysis in Google Analytics, and it gave me genuinely useful insights into where we might be losing users. For each tool, I focus on its best use cases, explaining when and how it can be most useful. I also share what I love about each one, as well as any downsides I’ve encountered during my experience. Additionally, I provide information on the free version and premium pricing plans for each tool.