Gemini

Google's answer to GPT-4

4.9•137 reviews•

5.5K followers

Google's answer to GPT-4

4.9•137 reviews•

5.5K 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 137 reviews to tell us what they like about Gemini, what Gemini can do better, and more.

4.9

Based on 137 reviews

Review Gemini?

Reviews praise Gemini’s speed, clean UI, and strong multimodal work—image generation, voice, and code help stand out—making it handy for research, drafting, and structured workflows. Some users note inconsistency and occasional hallucinations versus rivals. From founders: the makers of

Google

highlight broad adoption; the makers of

Warp

emphasize flexible agent workflows and fast iteration; the makers of

Greta

credit it for coding/reasoning pipelines. Additional founder notes call it cost‑effective with good latency and a reliable default for web agents, with growing global availability desired.

+137

Summarized with AI

Pros

fast performance (14)

high-quality outputs (8)

multimodal capabilities (8)

large context window (7)

Google integration (5)

cost-effective (4)

affordable (3)

AI Studio (2)

free tier (2)

real-time AI responses (2)

Cons

hallucinations (4)

inconsistent data (4)

Pros

Cons

Reviews

All Reviews

Most Informative

used

Gemini

to build Giselle

•15 reviews

Google's Gemini models bring unmatched context, multimodal, and image generation capabilities to Giselle. With a 1M token context window, our workflows can process entire codebases, long documents, and even video content. From Gemini 2.5 Flash Lite for fast free-tier tasks, to Gemini 2.5 Flash and Pro for balanced and advanced reasoning, Gemini 3 Pro and Flash for the most demanding agentic workflows, and Gemini 2.5 Flash Image for native image generation — we leverage the full Gemini family. Google Search Grounding keeps responses current, while native multimodal support handles text, images, audio, and video seamlessly. Thank you for pushing the boundaries of AI capability!

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14 views2mo ago

•7 reviews

Looks amazing and fantastics

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15 views2yr ago

•3 reviews

I've tried Gemini recently, and it is pretty good. It is simple and easy to use. Looks like the update fixed previous issues. I also love how I can check links to the resources the chat uses.

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4 views2yr ago

•31 reviews

I like that Google AI also does real-live Internet Searches, but for doing posts or stuff like that I prefer OpenAi because I like the way how that AI already knows me

What's great

real-time AI responses (2)

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6 views2yr ago

•3 reviews

It's good very nice am intended. But give bonus

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6 views2yr ago

Crewlix

•4 reviews

Gemini is a groundbreaking AI model that showcases impressive multimodal capabilities. Its integration of text, images, audio, video, and code is seamless, demonstrating Google's advanced technological prowess. This product's potential applications are vast and exciting.

What's great

multimodal capabilities (8)

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14 views2yr ago

•27 reviews

We use this for a chatbot for founder, which we built.

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2 views2yr ago

SukuPay

•2 reviews

Really good, not amazing yet.

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14 views2yr 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 (4)

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40 views1yr ago

•4 reviews

I recently tried the newly launched Google Bard integrated with Gemini, and unfortunately, my experience has been disappointing. The tool frequently produces hallucinations and inconsistent data, especially when responding to the same queries with different numerical information. This inconsistency makes it challenging to rely on the tool for accurate information or practical use. While the concept is promising, the current execution falls short of expectations, particularly in terms of reliability and accuracy. It's crucial for such tools to provide dependable and consistent responses to be effectively utilized in any practical scenario.

What needs improvement

hallucinations (4)inconsistent data (4)

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7 views2yr ago

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