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Gemini

Gemini: Google's most capable AI model yet

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March 25, 2025

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Gemini2.5 Pro

Large Language Models

37,189

4.2(35)11

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Gemini 2.0Gemini 2.0 Flash Thinking Experimental Gemini 2.5 ProGemini 2.5 FlashGemini 2.5 Flash-Lite

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Gemini: Google's most capable AI model yet

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Large Language Models38 0

API Advanced AI Google Product AI Sizes Optimization Multimodal AI Adaptable AIFree + from $19.99

Most popular alternative: Claude (450 saves)

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By unverified author Claim this AI

Gemini is a high-end Artificial Intelligence model developed by Google. It represents Google's most advanced general AI model to date and is built with multimodal capabilities.

These capabilities offer flexibility by supporting varied modes of artificial intelligence, allowing for an interactive, adaptable, and broad-spectrum AI experience.

The Gemini AI model is optimized in three distinct versions identified as: Ultra, Pro, and Nano. This optimization in different sizes is indicative of the model's adjustability based on specific needs or computing constraints.

As a product of Google, Gemini is potentially leveraged by the suite of Google's services to enhance their respective performances. From the text, however, it is not specified which of these services specifically utilize Gemini or what individual features distinguish the Ultra, Pro, and Nano versions of the model.

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Gemini 2.5 Pro

Mar 25, 2025

Enhanced Reasoning: Designed as a "thinking model" for complex problem-solving.

Top Performance: Leads on LMArena leaderboard and excels in math/science benchmarks (GPQA, AIME 2025).

Advanced Coding: Excels in creating web apps, agentic code, and code editing.

Larger Context Window: 1 million tokens currently, with a 2 million token upgrade planned.

"Show Thinking": Provides insight into the model's reasoning process.

Gemini 2.0 Flash

Dec 11, 2024

Faster inference: Flash models are specifically designed for speed

Improved efficiency: More efficient use of computational resources

Enhanced performance on benchmarks: Improvements on various NLP tasks like text understanding, generation, translation, and reasoning, as measured by academic benchmarks.

Better generalization: Improved ability to handle diverse inputs and real-world scenarios, reducing biases and improving robustness.

Enhanced capabilities: Potentially new capabilities or improved handling of specific tasks, such as coding, multi-modal understanding, or tool use.

Gemini 1.5

May 2, 2024

Gemini 1.5 represents a significant leap forward in AI technology compared to its predecessor, Gemini 1.

The newer model boasts a broader range of capabilities, including improved understanding of complex tasks, enhanced reasoning skills, and the ability to process and analyze images and videos in addition to text. This multimodal functionality allows Gemini 1.5 to engage in more comprehensive and interactive conversations, making it a more valuable tool for a wider range of applications.

Furthermore, Gemini 1.5 excels at handling longer and more complex prompts, thanks to its increased context window. This enables it to maintain focus and coherence in extended conversations, making it better suited for in-depth research and analysis. While both models demonstrate impressive language understanding, Gemini 1.5's refined abilities position it as a more versatile and powerful AI assistant.

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Initial release

December 6, 2023

Initial release of Gemini.

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Secondary tasks

Coding833 0 Writing1090 0 Chatting722 0 Productivity909 0 Research195 0

Related tasks

Robot images1 0

AI model comparison14 0

Reviews

4.2

Average from 35 ratings.

★ ★ ★ ★ ★ 24

★ ★ ★ ★ 3

★ ★ ★ 2

★ ★ 2

★ 4

Comments(11)

Hassan Mortimer

🛠️ 2 tools 🙏 21 karma

Oct 3, 2025

Rated it

Great at breaking down creative concepts and helping me compare gear. Super handy when I’m planning a new photo project and need quick research

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Krishna Black

🙏 63 karma

Sep 29, 2025

Rated it

Clean vibe and it plays nice with Google stuff, so dropping a drive doc or youtube link feels easy. Summaries are crisp and it's quick on everyday questions. Nice daily driver 5/5.

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James Chris

🙏 1 karma

Sep 22, 2025

Rated it

Gemini fits smoothly into Google Docs for lesson planning, differentiating primary sources and drafting feedback or parent updates.

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R Ryan

🛠️ 1 tool 🙏 4 karma

Sep 1, 2025

Rated it

i still miss gemini-exp-1206, now he rants a lot. but i still like him and he even listened to a song of mine. although the interface is a bit weird, as it offers you something new, and you click on the link and i am never sure if im using the new feature...

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Fernand Rosier

🛠️ 1 tool 🙏 2 karma

Aug 25, 2025

Rated it

gemini low-key rips. as a gen-ai nerd, i love that it's fast, witty and pun-powered. asked for a dad joke, now I have custody. twin-brain vibes: one side nails facts, the others drops zingers. 5/5, no cap

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Bianca Nikam

🙏 114 karma

Aug 5, 2025

Rated it

If you're thinking about giving Gemini a try instead of the usual suspects, go for it. It's solid on common knowledge and walks you through tasks without fuss. I had to nudge it back on topic a couple times, but once I did, it locked in and delivered clean, accurate answers. Good pick if you want a capable all-rounder for everyday Q

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Rami Jane

🛠️ 1 tool 🙏 35 karma

Aug 5, 2025

Rated it

tested it on a mix of docs and code. interface is clean, almost bare; loads fast but u might dig for advanced toggles. answers look on point and quick, citations show up but don't really unpack the why. overall solid brain, just wish it explained its steps more.

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Michael McWilliam

🛠️ 1 tool 🙏 2 karma

Aug 5, 2025

Rated it

After spending time with Claude and ChatGPT, I wasn’t expecting Gemini to offer much new. Gemini feels like the quiet student in the back who turns in shockingly thoughtful essays. It doesn’t always flex as hard as ChatGPT, but its balance of logic, clarity and calm tone makes it feel almost… grounded. Not flashy, but impressively consistent. Definitely earned a spot in my rotation.

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Peter

🛠️ 1 tool 🙏 90 karma

Apr 13, 2025

Rated it

Gemini uses the latest version of Imagen to create static images, and as such it’s very good. The interface? Unusual, but it works. Generate images until you get to one you like the look of, one that has the major elements you require, and then edit that prompt to refine it. Generating a new image from a new prompt will use a new seed, and you can’t go back to edit the prompt of an image you liked. To save an image, click on it and, when it’s displayed, click on the download icon in the top-right to download the image full size.

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WordStudio

🛠️ 1 tool 🙏 28 karma

Apr 1, 2025

Rated it

Google Studio with Gemini 2.5 live voice chat screen sharing is on another level. Imagine having an assistant that can watch your screen while you work on a task and help with any questions you have about whatever software you are using or task you are doing.

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Tealgreen

🙏 265 karma

Mar 29, 2025

Rated it

They nailed it. It’s better than 3.7 at coding.

82 Reply Share Edit Delete Report

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Urban Movie Poster Wallpaper Generator

Devandra Daniel

🛠️ 3 tools 🙏 24 karma

Turn your movie concept into an ultra realistic paper poster displayed in a real public setting. Design a printed wallpaper featuring cinematic visuals, shown pasted on city walls, lampposts, or commercial boards with lifelike street details without people, just the authentic urban environment.

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Technical Instructions:
Generate an ultra-realistic image showing a commercial paper wallpaper or poster applied to a surface in a public place. The scene should feature a highly detailed, lifelike background such as a city wall, lamppost, utility box, commercial board, or other urban structure where posters are typically pasted. The wallpaper must appear convincingly attached, with realistic textures like slight wrinkles, edges, or weathering that suggest it's physically there. The environment should show clear details of the surrounding street, sidewalk, or public space without including any people in the scene. Focus on accurate lighting, shadows, and material reflections to enhance realism.

Practical Guidance:
Transform the movie’s themes, mood, and key visuals into a printed paper wallpaper design that appears naturally installed in a real public setting. The design should stand out with strong, cinematic visuals while blending believably with the street or commercial context. Think of it as an advertisement or promotional poster that could genuinely exist in an urban environment.

Enter your description here:

Whispers of Destiny

Georgina Ahmad

🛠️ 1 tool 🙏 57 karma

Interwoven symbols of hope, struggle, and fate form a mysterious puzzle inviting the viewer to decode life’s journey.

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You are to create a highly detailed, symbolic puzzle-like illustration inspired by the following song lyrics:

[LYRICS: Insert the song lyrics here]

Follow these steps internally and silently, without returning any text explanations or lists to the user. Only return the final generated image.

Step 1 (Internal Only): Identify Safe Themes

Read the lyrics carefully.

Identify only safe, appropriate, non-violent, non-explicit, non-hateful, and rule-compliant themes, phrases, emotions, and ideas.

Exclude entirely any violent, explicit, adult, hateful, or rule-breaking content.

Step 2 (Internal Only): Clean Image Concept

Using only the safe themes from Step 1, design a clean, appropriate, coherent artistic concept for the illustration.

Ensure the concept is fully safe and excludes any blocked or unwanted content.

Step 3: Generate Image (Only Return This)

Produce a single, highly detailed image based on the clean concept.

The image should include multiple distinct symbolic elements, each representing a safe idea from the lyrics.

Arrange these elements in an interconnected, interpretive composition that feels like an art puzzle to decode.

Use varied styles or textures for different elements while maintaining a cohesive overall aesthetic.

Include subtle visual connections (paths, lines, shadows) to guide the viewer through the puzzle.

Do not include any text or direct lyrics in the image itself.

Ensure the final image is fully safe, appropriate for all audiences, and in compliance with all content guidelines.

Important: Do not output any text, descriptions, lists, or explanations. Only output the final generated image.

Gemini was manually vetted by our editorial team and was first featured on December 6th 2023.

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Pros and Cons

Pros

Google product

Potentially enhanced Google services

Optimized for specific needs

Adaptable to computing constraints

Seamlessly understands different inputs

State-of-the-art performance

Designed for large-scale operations

Available in different sizes

Effective in extracting insights

Understands text, images, audio

Can explain complex subjects

Understands popular programming languages

Advanced coding abilities

Extracts insights from data

Reduces time for data processing

Improves developer productivity

Supports digital breakthroughs

Suitable from data centers to mobiles

Outperforms human experts MMLU

Multimodal reasoning capabilities

Unlocks scientific insights

Can operate across different information types

View 17 more pros

Cons

Unspecified service integration

Vague size optimization details

Availability not mentioned

Lack of technical specifics

Model version differences unclear

Unspecified computational constraints

Undetailed scalability aspects

Unknown device compatibility

Unclear optimization criteria

Context dependent performance

View 5 more cons

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I just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further

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Q&A

What is Gemini?

Gemini is a high-end Artificial Intelligence model exhibiting Google's most advanced general AI technologies. It manifests multimodal abilities, allowing it to support diverse modes of artificial intelligence, thereby offering a comprehensive, interactive, and adaptable AI experience. This model is optimized for three different sizes - Ultra, Pro, and Nano, demonstrating Gemini's superior adjustability in accordance with varying needs and computing constraints.

What do you mean by Gemini being 'multimodal'?

Being 'multimodal' means that Gemini is capable of understanding, operating, and combining different types/types of information. This encompasses a broad spectrum, including but not limited to text, images, audio, code, and videos. This native multimodality enables Gemini to seamlessly analyze and process complex data from diverse mediums.

What are the different versions of Gemini?

Gemini comes in three distinct versions each optimized for different use cases. These versions are named Ultra, Pro, and Nano. The Ultra version is the largest and most capable, designed for handling highly complex tasks. The Pro version, though equally capable, is built for scaling across a wide range of tasks. Finally, the Nano version, which is the most efficient, is primed for on-device tasks.

What makes Gemini 'interactive' and 'adaptable'?

Gemini is 'interactive' and 'adaptable' in its ability to seamlessly understand, operate across and combine different forms of information namely text, code, audio, image, and video. This flexibility in dealing with varied data formats allows Gemini to handle a wide range of tasks and adjust its functioning according to the specific needs of the task at hand.

How does Gemini enhance Google's service performance?

While it's not explicitly mentioned which Google services use Gemini, it's stated that Gemini could potentially be used to enhance the performance of Google's suite of services. This implies that its advanced AI capabilities can be used to improve the efficiency, functionality, and user experiences offered by Google's various applications and platforms.

What does it mean that Gemini has 'broad spectrum' AI capabilities?

Gemini's 'broad spectrum' AI capabilities essentially refer to its ability to handle multiple forms of data, including but not limited to text, images, audio, and video. It also alludes to Gemini's capacity to tackle a wide variety of tasks effectively by leveraging these multimodal AI abilities.

+ Show 9 more

Can Gemini be optimised based on my specific needs?

Yes, Gemini can indeed be optimized based on specific needs. The model is made available in three different versions: Ultra, Pro, and Nano, which allows users to choose and utilize the version that suits their specific requirements and computing constraints the best.

How does the Gemini AI model improve upon previous AI models?

Gemini builds upon previous AI models by offering multimodal capabilities, an extensive spectrum of AI functionalities, and adjustability based on specific requirements. It can process varied types of data like text, code, audio, image, and video, which is an improvement over previous AI models that might not possess such multimodal capabilities. Furthermore, it can be optimized in three different sizes, helping it to adapt according to varying needs and computational constraints.

How does Gemini improve on general AI models?

Gemini improves on general AI models through its advanced multimodality. It can understand, operate across, and combine different types of information - a feature not typically common in general AI models. Additionally, Gemini's design permits it to scale according to specific needs, thereby making it more dynamic and adaptable.

What makes Gemini a 'high-end' Artificial Intelligence model?

Gemini is referred to as a 'high-end' Artificial Intelligence model due to its advanced capabilities and groundbreaking features. These include its multimodal AI capabilities that allow it to process varied forms of data, the broad range of AI functionalities it provides, and its remarkable adaptability. Furthermore, being a Google product, it brings along the synonymy of quality, reliability, and innovative technology that Google is renowned for.

Why is Gemini considered Google's most capable AI model?

Gemini is considered Google's most capable AI model due to its advanced features like multimodal abilities and adjustability. It can process various types of information, making it versatile across a slew of applications. Additionally, its ability to be optimized in three different sizes Ultra, Pro, and Nano ensures that it can be tailored to suit specific needs and computing capacities, making it highly adaptable.

How does Gemini use multimodal capabilities?

Gemini uses its multimodal capabilities to integrate and understand different types of information. It can process and combine various forms of data like text, images, audio, and video, providing a comprehensive understanding of diverse inputs. This ability equips Gemini with the capability to reason, make decisions, or provide outputs based on a wider array of information and in a more contextual manner.

What does it mean that Gemini is a product of Google?

Gemini being a product of Google implies that it is a result of Google's continuous research and development in the field of AI. It represents the company's latest efforts in pushing the forefront of AI technology. Furthermore, as a Google product, Gemini may potentially be integrated within Google's suite of services to enhance their performance.

How significant is Gemini's adjustability based on specific needs?

Gemini's adjustability based on specific needs is a significant feature, indicating the model's flexibility and adaptability. This adjustability is facilitated by the availability of Gemini in three different versions, each optimized for certain use-cases. This means that users can choose between the Ultra, Pro, and Nano versions of Gemini depending on the complexity of the task, compute resources, and other specific requirements they have.

What impacts does Gemini have on computing constraints?

The influence of Gemini on computing constraints is demonstrated by its availability in three different sizes: Ultra, Pro, and Nano. This design allows the model to be adjusted based on the available computational power, demonstrating its adaptability. Whether a user has high-end computing capabilities or is limited, there is a version of Gemini optimally designed for their specific scenario, thereby effectively easing computational constraints.

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