I've Tested Genspark AI: My Full Review for 2026 - Cybernews

Genspark AI is a generative AI tool that relies on multiple LLMs and AI tools to quickly and efficiently handle different types of tasks. What sets it apart from other AI tools I’ve tested is its versatility. Like most generative AI tools, Genspark can help you brainstorm ideas, draft and optimize blog posts, and even generate images and videos. On top of that, Genspark can be your personal assistant and take off some repetitive tasks from your workload, such as conducting complex research, analyzing massive datasets, scheduling appointments, and even making calls on your behalf. In this Genspark AI review, I sum up my findings where I tested Genspark’s performance across different use cases, including research, content creation, assistant tasks, and more. Genspark AI review: quick overview Best for: Anyone who wants a reliable AI assistant that can handle both simple and complex tasks for them Key features: Deep research, image and video generation, slides, sheets, and personal assistant tasks like making calls Free version: Yes Starting price: No official pricing available Visit Genspark Genspark AI pros and cons Genspark AI is a powerful AI tool that can handle all kinds of specialized tasks because of its multi-agent approach. It’s also a solid AI assistant, able to perform complex tasks like making calls without much input from you. While it’s still a bit clunky, Genspark’s call feature will only improve with time. What I liked Multi-agent approach: Genspark AI selects the most efficient and accurate AI models and agents to complete the task AI slides: can generate an entire presentation from 0 to 100 plus fact-check Image and video generation: create detailed images and videos with one prompt Free tier included: based on limited daily credits, signing up required Mobile app available: access Genspark AI on both your desktop and phone What I didn’t like Plans and pricing information isn’t easily available: you don’t know the price until you sign up and start using the tool, lacks transparency How does Genspark actually work? At first glance, Genspark looks like any other AI tool. It has a simple text box where you can input your prompts, and Genspark sends the output as a reply. Genspark AI interface However, instead of relying on one LLM, Genspark utilizes multiple AI models and tools to provide you with the most relevant answer as quickly and efficiently as possible. This is called Mixture-of-Agents (MoA) and it utilizes specialized AI sub-agents for specific tasks. The workflow is pretty simple: your input is broken into smaller subtasks. Each subtask is then routed to the specialized AI model/tool for a more nuanced output. Genspark describes it as a team of specialists working together on a project. Genspark’s dashboard is also different from most AI tools like ChatGPT and Claude. On the left hand side, you’ll find all of Genspark’s agents for different tasks, which makes it easier to navigate and more beginner-friendly. The available agents include Super Agent, AI Slides, AI Sheets, AI Docs, AI Developer, AI Designer, and many more. Lastly, Genspark uses cloud-based, asynchronous processing, so Super Agent tasks can run even while you’re offline. Genspark AI features review Genspark AI is more than just a chatbot. It relies on a mix of AI models and tools to handle a wide range of real-world tasks, both for personal and academic/business use. After all, there is no one AI tool that excels at everything, so Genspark combines multiple models and agents to tackle your task quickly and efficiently, providing a more nuanced output. I collaborated with our research team to test some of its use cases to evaluate its efficiency, accuracy, and ease of use. Here’s what we found. Deep research and data analysis Unlike ChatGPT and other popular AI tools, Genspark has a feature designed for extensive research called Deep Research. It uses multiple advanced AI models and tools to gather and analyze information, identify gaps and inconsistencies, and generate detailed reports. To put it simply,Genspark's Deep Research relies on a "team" of AI models. Reasoning models such as OpenAI's o3-mini-high and DeepSeek R1 analyze information from hundreds of sources and forward it to AI models like GPT, Claude, and Gemini Advanced to challenge their findings. This process is repeated in multiple rounds until the information is verified. Here’s the prompt our team used to test Deep Research: “Find the top 5 laptop brands in 2025 and compare their top laptop prices and specs in a table.” Genspark AI Deep Research process The prompt wasn’t too complicated, so it only took 3 minutes to generate it. While Genspark provided a mini market analysis and a side-by-side table comparison, I found the report quite short and lacking nuance. This could be in part because the prompt was quite general, and more specific prompts could yield better results. You can check out the report Genspark AI generated here. Image generation You can also use Genspark to generate images. To test it, I used the Mixture-of-Agents mode with realistic style and automatic settings, but you can play around with it to get the exact image you want. The whole process took around a minute and provided me with 3 outputs of 3 different models (Nano Banana, GPT Image, and Flux.1 Kontext). Here’s the prompt our team used to generate a few images: “Create an image of a futuristic cyberpunk city at sunset with glowing neon lights and add king-kong sized spongebob into the picture.” Genspark AI generated high-quality images based on my prompt The generated images are quite impressive and on par with the likes of DALL·E or Midjourney, especially considering that it’s the first output. It’s important to get solid outputs on your first few tries because of Genspark’s credit system – every new request will cost you more credits. So, it’s crucial to learn proper prompting techniques to get what you want in one or two prompts. Video generation Aside from images, you can also use Genspark to generate short videos. I generated one using the Gemini Veo 3.1 model with a 16:9 aspect ratio and AutoPrompt settings. It took around 2 minutes. Here’s the prompt our team used to generate a short video: “Single continuous educational shot that explains the Solar System. Start on the Sun at frame center; gentle dolly-out reveals all eight planets orbiting on distinct, slightly tilted elliptical paths. Scale the planets proportionally and space them progressively wider; include the asteroid belt between Mars and Jupiter. Camera holds a slow clockwise orbit around the system as planets advance smoothly along their orbits. Clean, modern CGI style with deep-space black background, subtle starfield parallax, soft rim lighting on each planet, realistic but not hyper-textured surfaces. No on-screen text, logos, or watermarks. Add calm educational synth pads with soft whooshes synced to planetary passes; no voices, no crowd sounds. End with a composed, wide view of the full system. Duration 8 seconds, 16:9.” While the video is impressive on the first look, it has one glaring mistake – there are too many planets. However, this is a common issue with AI and can be fixed with more prompting. Overall, it’s a great tool for turning ideas into reality, especially if you don’t have the skill set or the budget, or if you’re just testing things out. Again, it requires proper prompting techniques to get a good result that doesn’t need further editing, but that comes with time and practice. Slides for presentation creation Genspark AI has been getting traction over its AI slides, and for good reason. You can create a whole presentation from 0 to 100 with just AI. Genspark’s AI Slides feature will gather all of the required information for your topic, provide relevant and accurate references, and generate slides with engaging visuals. I like that it has pre-built templates you can choose from. This ensures that the final result will look clean and polished. Here’s the prompt our team used to generate slides: “Create a 5-slide presentation about climate change solutions based on 3 different scientific studies.” Genspark AI Slides generation process The whole process took around 5 minutes. There’s a Preview, Code, and Thinking tabs that let you dive into Genpark’s process. After the presentation is generated, you can fact check the content of each slide and ask Genspark to update the slides directly. You can edit your slides with AI Edit, where you describe changes you want and let AI implement them instantly, and Advanced Edit, which opens a separate window for manual adjustments. I appreciate that both options are available – usually there’s only one with these kinds of tools. Your slides can be exported as a PDF, PPTX or Google Slides. You can also save them as a template or view in a new window. AI Sheets functionality Genspark has another unique feature – AI Sheets. It’s designed to make data analysis quick and easy. All you have to do is import the data sheet into Genspark’s AI Sheets mode and prompt. Here’s the data set our team used to test Genspark’s AI Sheets: “LEGO sets released from 1970 to 2022, including details on each set's theme, pieces, recommended age, retail price, and image.” In total, there were 499 records and 25 fields. Our first prompt was simple: “Analyze this data.” This took longer than any of our other prompts, but the results were well worth it. Genspark identified top themes, largest sets, price trends, and the relationship between piece count and price. It even generated graphs to show yearly releases, popular themes, and data distributions. Although, the graphs weren’t that visually pleasing. Genspark also extracted additional insights on expensive sets, minifigure characteristics, and recommended age ranges. Genspark AI Sheets output Then we asked Genspark for more insights with a second prompt: “How many LEGO sets have been released since 1970? Is there a noticeable trend?” Genspark used Jupyter and provided thorough analysis. It started by cleaning the data, then went on to calculate total count and breakdown by decade and performed a year-by-year analysis with growth rates and peak identification. Genspark also conducted a trend analysis with moving averages and pattern identification, calculated key metrics, and compiled a final analysis report with unique insights. AI calling agent feature Lastly, Genspark AI can do calls for you. There are many use cases for this feature. It can be your personal assistant and schedule appointments, make reservations, or just gather information. It could also be implemented by businesses in certain areas of sales or customer service. It works like any other prompt. Simply state what number/place you want it to call and what it should do. For example, “Call Olive Garden and make a reservation for two for this Saturday, at 18:00.” After the call, you’ll receive a transcript of the entire conversation plus a summary, which is useful but also questionable since it doesn’t inform the person on the other side of the line that it’s recording the conversation. It supports multiple languages and even offers dedicated local lines in the US, Canada, Japan, South Korea, and the UK. So, it can be used Genspark AI alternatives While Genspark AI is unique in its own way, there are a few alternatives you can try for research and personal assistant tasks. Here’s a short overview of our top picks. ChatGPT As the tool that popularized AI for general use, ChatGPT stands out as a beginner-friendly AI chatbot that can handle a wide range of tasks from brainstorming, research, drafting, and even agentic tasks like scheduling an appointment, sending an email, or booking a hotel. Learn more about the latest version of ChatGPT in our detailed ChatGPT 5 review. Things we like Great for general tasks like summarizing research, generating first drafts, Agent mode can handle tasks like Free tier available Relatively affordable premium version Things we don’t like Tends to hallucinate information Manus AI A less known AI tool that’s designed for complex automations. It’s built on Claude and is great for deep research, data analysis, website development, and more. Things we like Easily set up automations Affordable pricing Things we don’t like Not built for creative tasks Fewer integrations compared to other AI tools Perplexity AI Unlike ChatGPT and Manus AI, Perplexity is an AI search engine, meaning it’s main goal is to find the most relevant results based on your prompt. It’s great at summarizing research, providing legit sources and citations, making it an indispensable tool for students, professors, and researchers. Things we like Strong research and relevant sources with citations Fact-checking and verifying sources Organizing information and keeping up to date Things we don’t like Weak creative capabilities My verdict on Genspark AI Genspark AI is not just an AI search engine or chatbot – it’s designed to handle both simple and complex tasks as your personal assistant. Genspark stands out among competitors like ChatGPT and Claude with a multi-agent approach. This means it relies on multiple AI models and tools to generate answers and complete tasks more efficiently and accurately. All in all, I recommend it for those who want to automate their tasks and are looking for a more advanced AI assistant for conducting deep research, creating slides, analyzing data, and making calls. FAQ What is the difference between Genspark and ChatGPT? Genspark relies on multiple AI models and tools while ChatGPT relies on OpenAI’s models only. Overall, ChatGPT is a more general-purpose tool, while Genspark is fit for complex tasks. Does Genspark AI offer better research quality than Perplexity AI? Yes, Genspark AI tends to produce more comprehensive research, especially with its Deep Research feature, which relies on multiple AI models and agents to get the best results. How much does Genspark cost? Genspark doesn’t provide exact numbers until you sign up. Who owns Genspark? Genspark AI is owned by founder Eric Jing and co-founder Kay Zhu as well as a few venture capital firms.