Gemini

Google's answer to GPT-4

4.9•172 reviews•

7.7K followers

Google's answer to GPT-4

4.9•172 reviews•

7.7K 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 172 reviews to tell us what they like about Gemini, what Gemini can do better, and more.

4.9

Based on 172 reviews

Review Gemini?

Reviewers see Gemini as a fast, versatile assistant that works especially well for multimodal tasks, research, summarization, image work, and Google-centered workflows. Users often praise its clean interface, helpful integrations, and strong support for writing, coding, and organizing ideas, but many also say results can be inconsistent on complex, factual, or tightly structured tasks, with occasional hallucinations and weak cross-chat memory. Founders of Warp, MindPal, and IFTTT highlight multimodal strength, fast iteration, voice use cases, and easy fit across Google tools.

+171

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

Reviews

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Most Informative

Founder Reviews (147)

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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145 views7mo ago

used Gemini to build Orbora

•3 reviews

Gemini writes the script and Gemini TTS voices it, so every talk in Orbora is generated end to end by one model family. The speech quality talk about the closeness to GCP and vertex ai and rapidity of flash Orbora’s backend already runs on Google Cloud, so Gemini through Vertex AI was the natural fit: same project, same auth and billing, no external API keys or extra network hop. Gemini Flash is fast enough to generate and voice a full talk quickly, and the same model family covers both the script and the TTS, so there’s one provider to manage instead of two.is what makes the talks usable.

Alternatives Considered

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4d 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.