Gemini
Google Gemini is a multimodal artificial intelligence (AI) model developed by Google DeepMind
English
English
Gemini is an artificial intelligence model launched by Google DeepMind, an artificial intelligence laboratory affiliated to Google's parent company Alphabet, on December 6, 2023. It can simultaneously identify five different types of information: text, images, audio, video and code, and can understand and generate high-quality code in multiple mainstream programming languages (such as Python, Java, and C++).
Gemini official website address: https://Gemini.google.com/
answer the questions
Google Gemini can answer various questions accurately and in detail. This is done by accessing the vast amount of knowledge gained during training the model. Whether it is a simple factual question or a more complex query that requires a deeper understanding, Google Gemini is able to provide comprehensive and useful answers.
Text generation
One of the most impressive features of Google Gemini is text generation. The model can create a variety of text formats, from creative stories and poems to factual articles and emails. Users simply provide Gemini with a specific type of text or theme and the model creates coherent and engaging text.
Language Translation
Google Gemini is also a powerful translation tool. It can translate text in multiple languages in real time. This makes it a valuable tool for communication and information sharing in a globalized world.
Perform simple tasks
In addition to the above main features, Google Gemini can perform many simple tasks to make daily life easier. For example, this includes summarizing text, creating lists, or writing short snippets of code.
Cloud Service
Running on Google Cloud, it provides APIs for enterprises and developers to integrate AI functions.
Suitable for large-scale computing, data analysis, AI training and other tasks.
Mobile & Desktop
Android devices: built-in Google Assistant, deeply integrated with Pixel phones and other mobile phones.
Web browser: It can be accessed on browsers such as Chrome, Edge, etc., without the need to install additional software.
Developer Tools
Supports Google Cloud AI, TensorFlow, and JAX, making it convenient for machine learning developers to use.
Provides API interfaces that can be integrated into enterprise applications, chatbots, data analysis tools, etc.
Gemini contains multiple models, and each model is priced in different ways. The following is a two most cost-effective and most powerful model. Other models are paid for by users.
Gemini 2.0 Flash
This is Google's most powerful multimodal model that provides excellent performance in all work, with a vein window of 1 million words, created specifically for the Agent era.
| Free plan | Paid level, USD fee per 1 million signs | |
|---|---|---|
| Enter the price | No fees required | $0.10 USD (text/picture/video) $0.70 (audio) |
| Output price | No fees required | $0.40 |
| Mail cache price | No fees required | $0.025 USD/ 1,000,000 symbols (text/picture/video) $0.175 USD/ 1,000,000 Symbols (Electrical) Open on March 31, 2025 |
| Vein cache (storage space) | Free, up to 1,000,000 symbols per hour Available until March 31, 2025 | $1.00 USD/1,000,000 Symbols/Hour Launched on March 31, 2025 |
| Adjust price | not applicable | not applicable |
| Create benchmarks with Google Search | Free, up to 500 RPD | 1,500 RPD (free), after which $35 per 1,000 |
| Used to improve Google products | yes | no |
Gemini 2.0 Flash-Lite
This is the smallest and most cost-effective model, designed for large-scale use.
| Free plan | Paid level, USD fee per 1 million signs | |
|---|---|---|
| Enter the price | No fees required | $0.075 USD |
| Output price | No fees required | $0.30 |
| Mail cache price | Launched on March 31, 2025 | Launched on March 31, 2025 |
| Vein cache (storage space) | Launched on March 31, 2025 | Launched on March 31, 2025 |
| Adjust price | not applicable | not applicable |
| Create benchmarks with Google Search | not applicable | not applicable |
| Used to improve Google products | yes | no |
Other model payment solutions: https://www.tkj.ai/ai-course/Gemini-model-charging-price
advantage
Multimodal AI leads: stronger image, audio and video comprehension capabilities than ChatGPT.
In-depth integration with the Google ecosystem: improve the intelligence level of Gmail, Docs, and Search.
Intelligent programming assistant: automatically generate and optimize code to improve developer efficiency.
Real-time data update: Compared with static AI (such as ChatGPT), information update speed is faster.
Support multilingual communication: suitable for global users, optimize cross-cultural communication experience.
shortcoming
Relying on Google Ecosystem: Non-Google users' user experience may be limited.
Cloud computing is required: offline functions are limited, and you must be connected to the Internet to use the full functions.
Some features may be paid: Advanced API access may require a Google Cloud subscription.
There may still be errors in AI-generated content: Users are advised to manually verify the key data.
Is Gemini free?
Some features are free, but advanced features may require a Google Cloud API subscription or paid unlock.
What is the difference between Gemini and ChatGPT?
Gemini is stronger on multimodal tasks (text + picture + audio + video) and is suitable for more complex scenarios.
ChatGPT is mainly good at text processing, with high dialogue fluency, but weak multimodal capabilities.
Can Gemini be used offline?
Currently, Gemini mainly relies on Google Cloud computing and does not support full offline mode.
How to integrate Gemini into my app?
Developers can access Gemini through the Google Cloud API and integrate it into applications or websites.
Is the content generated by Gemini trustworthy?
AI may generate error messages and users are advised to verify key data, especially in academic, financial, medical and other fields.
