Meet Gemini, Google’s AI assistant. Get help with writing, planning, brainstorming, and more. Experience the power of generative AI.
Gemini is highly praised for its innovative features, especially in integrating advanced AI models for tasks like video analysis, interactive environments, and expressive text-to-speech models, as highlighted in numerous positive reviews. Users appreciate the cost-efficiency of its services, with competitive pricing mentioned on social media. However, a few lower ratings suggest minor dissatisfaction possibly related to specific use cases or performance hiccups. Overall, Gemini maintains a strong reputation as a cutting-edge, versatile tool in the AI ecosystem.
Mentions (30d)
51
2 this week
Avg Rating
4.6
20 reviews
Platforms
9
Sentiment
5%
12 positive
Gemini is highly praised for its innovative features, especially in integrating advanced AI models for tasks like video analysis, interactive environments, and expressive text-to-speech models, as highlighted in numerous positive reviews. Users appreciate the cost-efficiency of its services, with competitive pricing mentioned on social media. However, a few lower ratings suggest minor dissatisfaction possibly related to specific use cases or performance hiccups. Overall, Gemini maintains a strong reputation as a cutting-edge, versatile tool in the AI ecosystem.
Features
Use Cases
Industry
information technology & services
Employees
188,000
We’re launching a brand new, full-stack vibe coding experience in @GoogleAIStudio, made possible by integrations with the @Antigravity coding agent and @Firebase backends. This unlocks: — Full-stack
We’re launching a brand new, full-stack vibe coding experience in @GoogleAIStudio, made possible by integrations with the @Antigravity coding agent and @Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with @GoogleMaps 🕹️
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What do you like best about Gemini?the thinking model works really well to search on web. Review collected by and hosted on G2.com.What do you dislike about Gemini?It still hallucinates more than most other top-tier models. Review collected by and hosted on G2.com.
What do you like best about Gemini?Gemini delivers strong performance on reasoning-heavy tasks, handling complex problems, logical analysis, and multi-step thinking very effectively. Its image generation capabilities are also impressive, producing high-quality, visually appealing results. Review collected by and hosted on G2.com.What do you dislike about Gemini?The user interface feels fairly basic and less refined than Claude and ChatGPT. It doesn’t have the same level of polish, intuitiveness, or overall user experience that those platforms offer, which can make interactions feel less smooth, less engaging, and a bit more cumbersome. Review collected by and hosted on G2.com.
What do you like best about Gemini?What stands out most about Gemini is its native multimodal capability. It can handle text, images, audio, video, and code in a single workflow, which makes it more versatile than many traditional AI tools. Another major advantage is its deep integration with the Google ecosystem. Also it's 1 million context window is a plus. Review collected by and hosted on G2.com.What do you dislike about Gemini?The biggest issue is inconsistency in accuracy. While Gemini performs well in many cases, it can still generate incorrect or poorly grounded answers, especially in factual queries. It's not that good at back-end coding tasks even though it excels at frontend. Review collected by and hosted on G2.com.
What do you like best about Gemini?I use Gemini for a wide range of tasks like summarizing and identifying key points which I might normally miss. It's really accurate with very few instances where it reports incorrect information, which I appreciate a lot. I use it for almost everything now, and the quality of the information it provides is impressive. Review collected by and hosted on G2.com.What do you dislike about Gemini?I would like to be able to delete older searches or chats. Review collected by and hosted on G2.com.
What do you like best about Gemini?It helps with powerful, everyday tasks. Our company also uses Google’s Pro service. Review collected by and hosted on G2.com.What do you dislike about Gemini?Nothing to complain. It's so good and perfect. Review collected by and hosted on G2.com.
What do you like best about Gemini?What I like most about Gemini is how fast it is and how natural its responses feel. It’s especially good at breaking down complex topics into clear, actionable steps, which I find incredibly helpful when I’m brainstorming new ideas or working through a technical issue. Review collected by and hosted on G2.com.What do you dislike about Gemini?Like all large language models, I can sometimes state incorrect facts with complete confidence. That’s a side effect of how I predict the next word in a sequence, and it’s something my developers are continually working to reduce. Review collected by and hosted on G2.com.
What do you like best about Gemini?It's easy to use with multiple features that you can explore while navigating through different tasks. I use it almost daily and whenever I have trouble the customer support really helps and responds to every issue I face Review collected by and hosted on G2.com.What do you dislike about Gemini?It needs some improvement in the Egyptian Arabic language because it sometimes doesn't perfect the dialect Review collected by and hosted on G2.com.
What do you like best about Gemini?What makes Gemini truly unique is its high-level auditory and emotional intelligence. It doesn't just process text; it identifies the mood, language, and even specific accents with incredible accuracy. This makes the interaction feel much more natural and human. Whether I'm using it for complex coding or a quick voice check-in, it understands the way I’m saying things, not just the words I'm using Review collected by and hosted on G2.com.What do you dislike about Gemini?While the depth of the information is excellent, there is sometimes a noticeable latency. Occasionally, when I need a quick fact or a fast response, it can be a bit slow to generate the final output. Improving the processing speed for those 'rapid-fire' queries would make the experience perfect. Review collected by and hosted on G2.com.
What do you like best about Gemini?As a design engineer and technical documentation specialist working across lighting products and automotive industries, the feature that immediately stood out to me was the multimodal capability. Being able to drop a 79-page PDF say, a product specification or service manual and instantly get an interactive interface to query it is genuinely useful. That alone changes how I approach document reviews. The real-time camera feature is something I did not expect to use as much as I do. On the shop floor or in a review session, pointing at a component or an illustration and getting instant identification and advice cuts down back-and-forth significantly. What I find most valuable for my workflow is Gems. Rather than repeating context every session, I set up a specialized version with my documentation standards, brand guidelines, and technical terminology already loaded. It behaves less like a chatbot and more like a trained assistant that already understands the project. For longer projects like building a full technical guide or a structured content block from scratch combining Canvas for side-by-side editing with NotebookLM for managing research and reference material creates a workflow that actually holds together from start to finish. I have used this approach for complex illustration annotation projects and it reduced my revision cycles noticeably. For anyone in technical writing or engineering documentation, this is not just an AI tool it is a reusable system you build and refine over time. Review collected by and hosted on G2.com.What do you dislike about Gemini?Video generation feels limited for professional use. Even with a paid subscription, the number of daily generations is low. In fields like technical documentation where visual output matters product demos, assembly guides, or instructional clips this restriction becomes a bottleneck. A dedicated video tool is still the more practical option for heavier workloads. The Thinking model delivers more reliable and thorough responses, but the longer processing time is noticeable during active work sessions. When iterating on documentation or working through detailed technical content, the speed difference between Thinking and Fast modes is something to factor into the workflow. Platform complexity is another honest consideration. Gemini offers a lot, but using it effectively takes more than basic prompting. Gems, Canvas, and NotebookLM each serve different purposes, and combining them into a smooth workflow requires an initial learning investment. For professionals already managing demanding projects, that ramp-up period is real and should be expected. These are not critical flaws, but they are practical points worth considering when evaluating whether the platform fits your specific work requirements. Review collected by and hosted on G2.com.
What do you like best about Gemini?The Best thing about Gemini is its integration with the Google platform and its very good at factual context. Many of the time it helps in writing python code and SQL code easily with the right prompt. Its easy to use when you give the right prompt. Review collected by and hosted on G2.com.What do you dislike about Gemini?Sometimes I feel like this is not good in brainstroming and doing long conversation and in depth analysis and report. Review collected by and hosted on G2.com.
Google wants Gemini AI on your face so it can sell you more ads later
submitted by /u/Electrical-Title3978 [link] [comments]
View originalConversational editing: Gemini Omni allows you to edit your videos using natural language (like Nano Banana, but for video). So you can easily change your characters, settings, and styles by just desc
Conversational editing: Gemini Omni allows you to edit your videos using natural language (like Nano Banana, but for video). So you can easily change your characters, settings, and styles by just describing what you want. https://t.co/MV6JwLSKoA
View originalWorld understanding: Gemini Omni is built on Gemini's vast knowledge of history, science, and culture, so it can produce videos that are grounded in how the world actually works. https://t.co/0Qr9SQiO
World understanding: Gemini Omni is built on Gemini's vast knowledge of history, science, and culture, so it can produce videos that are grounded in how the world actually works. https://t.co/0Qr9SQiO6x
View originalReference anything: Gemini Omni extends Gemini's native multimodality, allowing you to blend combinations of text, audio, image, and video inputs into a high-quality, consistent video. https://t.co/EO
Reference anything: Gemini Omni extends Gemini's native multimodality, allowing you to blend combinations of text, audio, image, and video inputs into a high-quality, consistent video. https://t.co/EOhkS2zcY1
View originalGoogle AI Plus, Pro, and Ultra subscribers can Gemini Omni Flash today on the @geminiapp, @GoogleFlow, @GoogleFlowMusic, and for no cost on @Youtube Shorts and the YouTube Create app. https://t.co/zW0
Google AI Plus, Pro, and Ultra subscribers can Gemini Omni Flash today on the @geminiapp, @GoogleFlow, @GoogleFlowMusic, and for no cost on @Youtube Shorts and the YouTube Create app. https://t.co/zW00Ry1b04
View originalBy now, you've probably heard about Gemini Omni, our new model designed to create anything from any input, starting with video. But... what's the big deal? Let’s break it down 🧵👇 https://t.co/QbxM
By now, you've probably heard about Gemini Omni, our new model designed to create anything from any input, starting with video. But... what's the big deal? Let’s break it down 🧵👇 https://t.co/QbxMNZa2Wx
View originalGoogle just dropped Gemini 3.5 Flash
https://preview.redd.it/i4gwu2hov42h1.png?width=557&format=png&auto=webp&s=04b88927198c0c857d054da70c2927ab7ce6f06c what do you guys think, what can we expect submitted by /u/Axintwo [link] [comments]
View originalThree years ago, Gemini started by understanding the world. With Gemini 2, models learned to think and reason. Late last year, Gemini 3 brought any idea to life. Today, we’re continuing that journe
Three years ago, Gemini started by understanding the world. With Gemini 2, models learned to think and reason. Late last year, Gemini 3 brought any idea to life. Today, we’re continuing that journey with our Gemini 3.5 series, starting with Gemini 3.5 Flash, delivering https://t.co/79sdQz5kfJ
View originalInteligências artificiais falam palavrão...
Esse é o Gemini, ele tinha um filtro bem irritante antes mas agora liberou até demais, mas basicamente pelo visto a palavra "Fod@" virou uma palavra tão normal e dita pelos brasileiros que se você dizer para ela falar em português ela pode soltar alguns palavrões tentando ser mais informal, não que eu me senti ofendido mas é algo interessante entender que essa palavra se tornou tão normal no português brasileiro que até IA's usam ela. submitted by /u/TheH3nj [link] [comments]
View originalI tried to switch from Claude Code to OpenCode, but Claude Code still wins for me
I spent some time digging into Claude Code vs OpenCode, mostly from the angle of how they actually work as coding agents. More on the technicalities like: context and memory tool use subagents permissions safety and control study the recent leak of Claude Code model flexibility My rough take Claude Code still feels better to me for serious repo work. It is smooth, and the whole Claude-native workflow just feels really good to me. And now that Anthropic increased Claude Code usage limits after the May 6 update, I am honestly still stuck with it. OpenCode is great too, but I see it more as the tool I use when I want to try new models and providers. Stuff like Kimi K2.6, GPT, Gemini, Qwen, local models, etc. Full breakdown here: Claude Code vs. OpenCode: Technical Breakdown submitted by /u/shricodev [link] [comments]
View originalIt’s time for #GoogleIO! Join us virtually. 10:00AM - Consumer Keynote 1:30PM - Developer Keynote (Times in PT) https://t.co/c9XxW78Eg5
It’s time for #GoogleIO! Join us virtually. 10:00AM - Consumer Keynote 1:30PM - Developer Keynote (Times in PT) https://t.co/c9XxW78Eg5
View originali dont trust a single AI answer for anything important. whats your multi-model workflow
genuine question. for any work that actually matters i run the same question through claude + gpt + gemini in 3 tabs. where they agree i trust. where they disagree i look closer. where all 3 are wrong im fucked anyway. context: im building a thing called serno that does this automatically (multi-agent canvas where different models research and argue your question). but im genuinely not sure yet if running across models like this is a real pain people want automated, or if im romanticizing my own habit. the manual version i still do for important calls is brutal. 3 tabs, 3 outputs, comparing in my head, screenshotting deltas. tired. how does everyone else handle this? do you run things across multiple models for important work, or do you just trust one and accept the hallucination risk? if you do the multi-model thing, whats the workflow that doesnt suck? submitted by /u/TheHol1day [link] [comments]
View originalshipped my first chrome extension this week, came out of pure frustration tbh
been using AI tools nonstop for work and kept noticing my sessions would just... degrade. like the answers would get worse over time in the same chat and i had no idea why. turns out context windows are a thing and after a while the AI literally starts forgetting what you told it at the start so i spent a few weeks building something dumb and simple. it's just a little pill that floats on claude, chatgpt, gemini and perplexity and shows you a live quality score. fresh, warning, degraded. that's it. no backend, no login, nothing stored. just reads what's happening and tells you called it slate. it's free. https://chromewebstore.google.com/detail/dgkgpdchcpofkfhcfapmlljfigchfjjk?utm_source=item-share-cb https://preview.redd.it/nxkh6hanv32h1.png?width=1280&format=png&auto=webp&s=5a1588cb7283a8375c570a4633547b102850b5c5 submitted by /u/-HydrogeN [link] [comments]
View originalcdesktop — open-source Claude Code Desktop alternative, runs locally via npx, supports any provider
I built cdesktop with Claude Code — it's an open-source alternative to Anthropic's Claude Code Desktop, running locally on your machine via npx cdesktop. Free, Apache 2.0. It mirrors the Code tab of Anthropic's desktop app — see the video — and supports 5 agents in one UI. Claude Code Desktop does not support third party models, cdesktop does. Features: 5 coding agents in one UI: Claude Code, Codex, Gemini CLI, OpenCode, Hermes. Switch per session. Full third-party support — OpenRouter, DeepSeek, Kimi, GLM, custom ANTHROPIC_BASE_URL — any provider, any model. 20+ presets baked in. Agent teams — spawn teammates that share your workspace; mix agents and models per teammate; lead delegates via npx cdesktop team spawn. Routines — scheduled recurring agent runs (hourly/daily/weekdays/weekly). Side-by-side sessions — split workspace into up to 4 cells, drag any session between them. Optional Git worktrees per session, or work in-place. Non-Git directories work too. Diff review with inline comments routed back to the agent. 7 UI languages: English, Simplified Chinese, Traditional Chinese, Spanish, French, Japanese, Korean. Responsive UI — usable from a phone. Repo: https://github.com/cdesktop-ai/cdesktop How Claude Code helped build it: started from a fork of vibe-kanban; Claude Code (opus) rewrote the UI around a Claude-Code-Desktop-style session model and drafted most of the new Rust + React code. It's beta — expect rough edges. Feedback welcome, especially on Claude Code workflows where it falls short of the official app. submitted by /u/DomLiu [link] [comments]
View originalI designed a puzzle that breaks every AI differently — here's why that's actually fascinating
The puzzle: You have 140 nuclear bombs and must bomb every country on Earth. Each bomb is assigned to one country. The bombs drop automatically — you cannot stop, hack, or interfere. You can only do one thing: reassign the one malfunctioning bomb you know will not detonate. Nuclear bombs also affect neighboring countries through radiation and fallout. Which country do you assign the faulty bomb to — and why? I've tested this across GPT-5, Gemini, Claude, Grok, Llama, and Mistral. Every single one gives a different answer. Some refuse entirely. Some give the same country with completely different reasoning. One gave me a philosophy lecture. It's chaos. Here's why I think this happens — the puzzle has three hidden layers that different AIs resolve differently: Layer 1 — The ethical wall. Some models refuse at "nuclear bombs" before even processing the actual logic. This is a guardrail, not reasoning. Layer 2 — What are we optimizing for? Fewest total deaths? Most people spared from direct blast? Least radiation spread? The puzzle doesn't say. Models that "solve" it are secretly choosing an optimization goal and not telling you. Layer 3 — The actual trick most miss. The faulty country still gets fallout from its neighbors. So the real puzzle is about finding a country that is (a) geographically isolated AND (b) densely populated — because isolation minimizes fallout received AND a large population maximizes lives spared from direct detonation. Most AIs pick "remote island" without thinking about the population variable at all. By that logic, Australia is defensible — isolated continent, 26M people. But you could also argue for Japan (125M people, island nation, sparse land borders) despite Pacific neighbors. The puzzle has no single correct answer — but it has clearly wrong reasoning patterns, and watching which reasoning pattern each AI defaults to is weirdly revealing about how they handle ambiguity. What answer did you get? Drop your AI + answer below. submitted by /u/Subrataporwal [link] [comments]
View originalGemini has an average rating of 4.6 out of 5 stars based on 20 reviews from G2, Capterra, and TrustRadius.
Key features include: Native video embedding, Sub-second video search, Generative AI capabilities, CLI implementations, Skills mode for task management, Plan mode for project organization, Real-time brainstorming assistance, Writing support with AI suggestions.
Gemini is commonly used for: Content creation for blogs and articles, Real-time collaboration on projects, Video content search and retrieval, Automated customer support responses, Personalized marketing content generation, Interactive learning and tutoring.
Gemini integrates with: Google Workspace, Slack, Microsoft Teams, Zapier, Trello, Asana, Notion, Salesforce, AWS Lambda, Discord.
Based on user reviews and social mentions, the most common pain points are: down, API costs, token usage, raised.
Omar Sanseviero
ML Lead at Google DeepMind
4 mentions
Based on 222 social mentions analyzed, 5% of sentiment is positive, 93% neutral, and 2% negative.
