Gemini

Google's answer to GPT-4

4.9•180 reviews•

7.8K followers

Google's answer to GPT-4

4.9•180 reviews•

7.8K followers

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AI Infrastructure Tools

Google's largest and most capable AI model. Built from the ground up to be multimodal, Gemini can generalize and seamlessly understand, operate across and combine different types of information, including text, images, audio, video and code.

Gemini Reviews

The community submitted 180 reviews to tell us what they like about Gemini, what Gemini can do better, and more.

4.9

Based on 180 reviews

Review Gemini?

Reviewers see Gemini as a fast, versatile AI that works especially well for research, writing, structured thinking, and multimodal tasks like images, video, and documents. Users also like its clean interface and tight fit with Google tools, though several say ChatGPT or GPT feels more polished, stable, or better at memory. The main complaint is inconsistency: hallucinations, uneven factual accuracy, and less predictable results on complex tasks. Makers of Warp, MindPal, and IFTTT also praise its multimodal strength and Google ecosystem fit.

+179

Summarized with AI

Pros

fast performance (16)

high-quality outputs (10)

multimodal capabilities (9)

Google integration (7)

large context window (7)

cost-effective (5)

affordable (4)

AI Studio (4)

API ease of use (2)

free tier (2)

Cons

hallucinations (5)

inconsistent data (4)

Pros

Cons

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Founder Reviews (155)

Other Reviews (25)

•7 reviews

What's great

fast performance (16)cost-effective (5)affordable (4)Google integration (7)API ease of use (2)AI Studio (4)high-quality outputs (10)ease of training (1)

Gemini is overall a great LLM for all the general tasks. Google AI Studio is very useful and Gemini is very easy to tune and use as a RAGged model in workflows.

What needs improvement

memory limitations (1)objective approach (1)prompt vulnerabilities (1)

The model has a heavy reliance on short term memory and overall lacks the helpful assistance of following-up from chats that are further back.

Plus, there is the lack of objectivity and socially politically correct behaviour that comes out in sensitive topics which I think needs improvement. In edge cases the model chooses political correctness over helping the user.

Plus, the model is easy to drag into misuse with small changes to prompt like "This is for academic research".

vs Alternatives

Training is easier and cheaper than many alternatives.

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156 views8mo ago

used Gemini to build Zen Reader

•1 review

I've tried a bunch of Al tools-ChatGPT, Claude, Copilot-but Gemini impressed me with how naturally it fits into my workflow. Its integration with Google tools makes it fast and smooth for things like writing copy, summarizing articles, or even brainstorming UX ideas. Compared to others, it's less about flashy responses and more about practical output that helps me actually move forward. What I like most is how it saves me time: I can offload research, code snippets, and content drafts so I can focus on designing and building. A tip if you're just starting: pair Gemini with Google Docs and Gmail-it becomes a crazy-efficient assistant. And it's surprisingly good at refining rough thoughts into production-ready copy.

What's great

fast performance (16)Google integration (7)high-quality outputs (10)

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210 views1yr ago

used Gemini to build Selfplanr

•3 reviews

We used Gemini’s API for our platform, and it made the integration process smooth and straightforward. Its user-friendly design and comprehensive documentation significantly simplified our development work. We considered several options, including GPT-4, but found that it was either too expensive or didn’t meet our specific requirements as effectively as we hoped. Ultimately, Gemini’s API stood out for its ease of use and cost-effectiveness, making it the ideal choice for our platform.

What's great

cost-effective (5)API ease of use (2)

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103 views2yr ago

•18 reviews

What's great

fast performance (16)Google integration (7)AI Studio (4)high-quality outputs (10)video and image analysis (2)strong image generation (1)

Gemini is one of the AI tools I regularly use across product work, research, structured thinking, and multimodal tasks. Its biggest strength for me is versatility. It handles text, images, documents and structured outputs well, while fitting naturally into the Google ecosystem. AI Studio also makes it easy to test prompts, compare outputs, and move quickly from experimentation to API integration.

What needs improvement

hallucinations (5)reliability under strict output formats. (1)cross chat memory (1)

The main area for improvement is consistency on complex or highly constrained tasks. Gemini can produce excellent results, but structured outputs, detailed factual work, and longer workflows still need careful review. Stronger cross-chat memory and clearer source visibility would also make it easier to continue ongoing work with more confidence.

The capabilities are strong. The remaining gap is making that quality more predictable across different task types.

vs Alternatives

Perplexity

ChatGPT by OpenAI

Claude by Anthropic Grok

Grok

I use different AI tools for different strengths rather than choosing only one. Gemini is usually my choice for multimodal work, image-related tasks, deep research & analysis, and workflows connected to Google products. Claude is often stronger for nuanced long-form reasoning, while ChatGPT works well as a broader daily workspace. Gemini stands out when the task combines research, visuals, documents, and structured output.

Ratings

Ease of use

Reliability

Value for money

Customization

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102 views4mo ago

•9 reviews

What's great

fast performance (16)Google integration (7)large context window (7)high-quality outputs (10)

I use Gemini by Google almost daily, especially for research and structuring the flow of my papers. It helps me organize ideas, clarify concepts, and get quick explanations without breaking my momentum. Whether I'm outlining sections, exploring unfamiliar topics, or refining my writing, Gemini consistently gives clear and useful responses. It also saves me a lot of time I’d normally spend switching between tabs or searching for references.

The interface is simple and responsive, which makes it easy to work with. At this point, it’s become one of the tools I naturally reach for in my research workflow.

What needs improvement

outdated information (1)

Gemini is strong for quick use and everyday clarity, but for detailed research workflows, GPT currently feels more stable and precise. Still, Gemini is improving quickly, and I appreciate how lightweight and easy it is to use.

vs Alternatives

OpenAI

GPT-5

I chose Gemini because it’s fast, simple to use, and great for quick research and idea structuring.

Ratings

Ease of use

Reliability

Value for money

Customization

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750 views12mo ago

•3 reviews

What's great

high-quality outputs (10)

Gemini has been incredibly useful for my daily work and side projects. The image generation is amazing. I use it to create banners for my game server, visuals for presentations, and many other quick design needs.

I also use Gemini when thinking through marketing ideas, especially for things like GTM strategy, positioning, and brainstorming campaigns. It’s helpful when I need quick perspectives or structured ideas to start from.

What needs improvement

hallucinations (5)

Sometimes the prompt or internal instructions appear in the generated answer. It would be great if that could be filtered better so the response feels cleaner and more polished.

vs Alternatives

ChatGPT by OpenAI

I mainly chose Gemini over other AI tools because of the image generation quality and how helpful it is for marketing-related thinking, such as GTM planning and idea exploration.

Ratings

Ease of use

Reliability

Value for money

Customization

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255 views8mo ago

•1 review

What's great

multimodal capabilities (9)

This Mac App leaves me fewer arguments to keep ChatGPT as a tool for lazy AI searches.

What needs improvement

The remaining argument would be the cross-chat memory. For some unexplainable reason, Gemini is still anywhere at times where I live and which motorcycles I own. That's despite multiple chats and even personalization prompts.

Ratings

Ease of use

Reliability

Value for money

Customization

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98 views7mo ago

•6 reviews

Congrats on the launch! I've been waiting for a truly mobile-native, conversational AI and this delivers. I just used it to brainstorm and outline a blog post while walking my dog – something that's always been clunky with text-based interfaces on mobile. The low latency on the voice recognition is key to making this feel like a real conversation. A quick thought: It would be a game-changer if the chat history could be easily exported or synced with Google Docs/Keep for further editing. Is anything like that on the roadmap? Keep up the amazing work!

What's great

fast performance (16)

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288 views1yr ago

•19 reviews

I’ve been using Google’s Gemini as my go‑to AI co‑pilot, and it’s a solid step up from prior PaLM models. Its multimodal capabilities mean I can chat, generate images, and even get help with code all in one place—no juggling between tools. The Ultra tier shines on complex reasoning and creativity, while the smaller Nano model is surprisingly capable offline. Integration with Google Workspace keeps workflows smooth, but you’ll notice the occasional hallucination and a dependence on Google’s ecosystem. If you want a versatile, all‑in‑one AI—especially for multimodal tasks—Gemini is well worth a look.

What's great

multimodal capabilities (9)seamless Google Workspace integration (1)

What needs improvement

hallucinations (5)

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103 views1yr ago

•5 reviews

The AI model provides fast and clean responses with a user-friendly interface -works well for tasks like coding prompts and reasoning-based queries. However, outputs can feel less polished or adaptable compared to some competitors, and prompt results may vary in consistency Still, it’s a powerful and versatile assistant-especially impressive for those deeply embedded in a broader ecosystem, and particularly useful for structured and factual workflows

What's great

fast performance (16)

What needs improvement

inconsistent data (4)

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53 views1yr ago

•4 reviews

Gemini does a great job when it comes to processing text. I often use it for summarizing and extracting key points. However, when asking it about information from the web, it sometimes fabricates answers, so I still need to cross-check from multiple sources. That said, this seems to be a common issue with AI in general.

What needs improvement

hallucinations (5)

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64 views2yr ago

•4 reviews

Gemini has potential, especially in understanding current Google ecosystem content and multilingual input like Thai. But the output often feels less polished or flexible compared to ChatGPT. Speed is decent, UI is clean, but prompt consistency is hit-or-miss. A good backup, but not my go-to.

What's great

multimodal capabilities (9)Google integration (7)

What needs improvement

inconsistent data (4)

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45 views1yr ago

•10 reviews

I use Gemini by Google every day to help with writing, researching, and organizing my thoughts. It’s incredibly useful when I’m juggling multiple tasks and need quick support without breaking my flow. Whether I’m drafting emails, exploring complex topics, or just looking for a clear explanation, Gemini delivers fast and accurate results. It’s helped me cut down on time spent switching between apps and digging for information. I feel more productive and focused with it in my workflow. The interface is clean and responsive, which makes using it feel effortless. Overall, it’s a tool I now rely on heavily

What's great

fast performance (16)context aware (1)high-quality outputs (10)

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46 views1yr ago