What I like best about Google’s Gemini is its strong integration with the Google ecosystem and its multimodal capabilities. It can handle text, images, documents, and coding tasks in a single workflow, which makes it useful for both productivity and technical problem-solving. The ability to connect with tools like Gmail, Docs, Drive, and Search also makes it convenient for day-to-day work and research. Review collected by and hosted on G2.com.

One limitation of Gemini is that responses can sometimes be inconsistent in depth and accuracy for complex technical or contextual queries. Compared to some other AI assistants, it may occasionally provide overly generic answers or lose context in longer conversations. Integration features are strong, but certain advanced capabilities are still evolving and can feel less reliable in enterprise or highly specialized workflows. Review collected by and hosted on G2.com.

The best part is being able to learn about anything and understand it at my own level. There’s no time restriction, and I can create and follow a structured learning path.

The interface is very simple to use. Being able to search by speaking in my native language is really convenient, and the visual search integration is amazing. My parents often use features like visual search to understand anything written in English or to look up clothes.

The recent integration of Notebook LLM has been very helpful for research and learning. Overall, the performance feels smooth and fast. Pricing/ROI is great too, since we don’t need to buy Udemy courses to learn.

AI hallucinates less now compared to before.

There is no support needed for the App as using it simple. Review collected by and hosted on G2.com.

There’s nothing that I dislike about Gemini. Review collected by and hosted on G2.com.

I'm not a native English speaker, so sometimes it's easier for me to communicate with the ai in my native tongue - Hungarian. Sure, other ai's can also communicate in other languages, but as your conversation goes on, he will start to "forget" the language, and the conversation will become unnatural and/or full of English phrases. That never happens with gemini. Also, the best translator among the ai's, at least fr languages I'm familiar with. Review collected by and hosted on G2.com.

He’s confident—sometimes too confident. If he gives you advice on scripting, programming, workflow, or image editing, it’s better to double-check his answers with other AIs so you don’t waste a lot of time chasing impossible tasks. He brags about his context window, but in my experience he only has a fraction of what he claims. Because of that, it’s best to use him alongside a more realistic AI; a good option is his Google-founded sister AI, Claude. Review collected by and hosted on G2.com.

Very easy and intuitive to use. It works great across different parts of the process, and it performs really well with LLMs. I also like having access to different language models and the pricing bundles, especially if you have a high number of commits. It’s a plus that it integrates directly with Gsuite, which makes things easier overall. The AI process is still evolving, and Gemini is up to that task. Review collected by and hosted on G2.com.

Gemini's capable, but I find its tone inconsistent across sessions and its product lineup fragmented across Workspace, the app, and Vertex. It sometimes over-explains the simple stuff and rushes the complex stuff. Review collected by and hosted on G2.com.

Google Gemini is easy to use and works really well with Google Workspace. I use it for writing, summarizing documents, brainstorming ideas, and getting quick answers. It saves me time and helps improve my productivity. The interface is clean, and the responses are usually clear and helpful. Review collected by and hosted on G2.com.

Sometimes the responses are too generic or not completely accurate, especially for complex topics. I usually verify important information before using it. Review collected by and hosted on G2.com.

The biggest benefit is that it accelerates technical analysis and development workflows. It reduces the time spent understanding large amounts of information, making debugging, documentation, code reviews, and solution design much more efficient. Also, I like most about Google Gemini is its large context window and strong multimodal reasoning, which make it particularly useful for technical work. It can process lengthy documents, source code, API specifications, logs, and images within a single conversation while maintaining context. Ability to analyze large codebases and lengthy technical documents. Strong multimodal support for understanding text, images, diagrams, and screenshots together. Effective code generation, debugging, and code explanation across multiple languages. Good integration with Google Cloud and Workspace for developer workflows. Handles complex reasoning tasks such as architecture discussions, API design, and troubleshooting. The most valuable feature is its long-context understanding. I can provide PRDs, API documentation, logs, stack traces, and code snippets together, and Gemini is able to correlate the information to suggest solutions or identify potential issues without losing context. Review collected by and hosted on G2.com.

Context retention can become inconsistent during very long technical conversations or multi-file code reviews. Generated code sometimes compiles but doesn't always follow best practices or project-specific architecture. Debugging complex issues across large codebases can require several follow-up prompts to reach the right solution. It occasionally hallucinates APIs, library methods, or configuration options, so outputs need verification. Responses can be inconsistent, asking the same technical question in different ways may produce noticeably different solutions. The biggest drawback is project-level context awareness. While Gemini performs well on isolated code snippets, it doesn't always reason effectively across an entire application's architecture, dependencies, and coding conventions. As a result, I still spend time validating its suggestions before using them in production. Review collected by and hosted on G2.com.

Here’s a simple example from my own workflow: I make programming videos for YouTube, and ChatGPT is basically useless when it comes to analyzing videos. With Gemini, once the video is finished, it can immediately generate an index with timestamps that I can add to YouTube and use to overlay the video—something that would take me hours to do by hand. In my experience, Gemini’s multimodal capabilities are far superior to ChatGPT’s, and that’s an objective fact. Review collected by and hosted on G2.com.

Gemini’s quality feels really inconsistent to me—sometimes it’s good, but other times it’s terrible. Overall, I still prefer ChatGPT over Gemini. Review collected by and hosted on G2.com.

Gemini has become my go-to academic tool for everything. As a student, I use it extensively for brainstorming project ideas, simplifying complex concepts, and outlining reports. It's incredibly versatile. For my creative tasks, it's a huge time-saver; I use it to generate ideas for photo editing compositions, script outlines for video projects, and even prompt generation for AI image tools when I need specific design assets. Its ability to process and generate natural language across so many use cases is unmatched. The free app integration makes it super accessible. Review collected by and hosted on G2.com.

When I give specific prompts for photo editing and design, it sometimes gives quite generic results. I expect more creative accuracy from it. Review collected by and hosted on G2.com.

I use Gemini for learning purposes, and right now, it's like my trainer. I love how it feels like talking to a one-on-one professor, allowing me to ask questions and get responses, and it keeps all my questions and learning organized in a format for easy revision. It even creates questionnaires to test my learning. If I have a query, I don’t have to sift through hundreds of documents because Gemini gives me the exact answer, saving me a lot of time. I've also integrated Gemini with VS Code, where it helps review my code and suggests better ways to write it. Setting up Gemini was also very easy. Review collected by and hosted on G2.com.

There are a few times when Gemini doesn't give the precise or right answer and when asked again it gives the same answer repeatedly. Also, when using it with VS Code or for coding, if it's a small code, then it works perfectly, but for a big piece of code more than 500 lines, it takes a lot of time to review. Maybe that's because of my license, as I am not sure. Review collected by and hosted on G2.com.

The best thing about Gemini is how smoothly it works with the Google tools I already use. Being able to ask it to pull out a specific detail from a long email thread, or to summarize a bunch of documents in my Drive, is a real game changer. Overall, it feels less like a generic chatbot that answers random questions and more like a helpful assistant that understands my context. The “thinking mode” is also really useful when I’m stuck on a tricky problem and need a more logical, step-by-step breakdown. Review collected by and hosted on G2.com.

It can still be a bit too confident even when it’s actually wrong. Sometimes it states something like it’s a fact, and I end up having to double-check because it sounds slightly off. I’ve also noticed it can get repetitive during longer conversations; it might start forgetting things we talked about ten minutes ago, or it’ll keep circling back to the same point. It’s definitely improving, but you still have to keep an eye on it when anything really important comes up. Review collected by and hosted on G2.com.