Models Gemini 1.5 from Google: main about Gemini 1.5 Pro

The Gemini 1.5 series is a set of models designed to deliver high performance in a variety of tasks, including text, code, and multimodal. These models can be used for complex tasks such as synthesizing information from 1000-page PDF files, answering questions about large code repositories containing more than 10,000 lines, and analyzing multi-hour videos to generate useful content from them.

One of the main models in this series is the Gemini 1.5 Pro. This is the latest version of large language models (LLM) from Google, which has generated significant interest due to its advanced capabilities. It is particularly effective in tasks requiring long context consideration and interaction with various types of data. This model shows significant performance improvement compared to its predecessors, making it an ideal tool for developers and researchers looking to maximize the efficiency of artificial intelligence.

Main features of Gemini 1.5 Pro

• Extended context window. One of the main features of Gemini 1.5 Pro is its ability to handle up to 1 million tokens, which significantly exceeds the limit of 32,000 tokens of its predecessor, Gemini 1.0 Pro. This extended context window allows the model to handle complex tasks such as analyzing long documents, analyzing multi-hour videos or audio, and processing large codebases.

• Multimodal capabilities. Gemini 1.5 Pro is designed to work with multimodal data, including text, images, video, and audio. This makes it versatile for a wide range of applications—from text generation and translation to understanding videos and images.

• Contextual learning. The model demonstrates impressive contextual learning abilities, allowing it to acquire new skills based on information provided in a long query without the need for additional fine-tuning. For example, it can learn to translate a new language, such as Ralamang, from just one set of linguistic documentation.

Cost comparison with GPT-4

Gemini 1.5 Pro is positioned as a cost-effective alternative to GPT-4 from OpenAI.

• Input tokens. For prompts up to 128K tokens, Gemini 1.5 Pro costs $0.0035 per 1000 input tokens, while GPT-4o costs $0.005. For prompts over 128K tokens, the cost is $0.007 per 1000 input tokens for Gemini 1.5 Pro compared to $0.005 for GPT-4o.

• Output tokens. Similarly, for output tokens, Gemini 1.5 Pro charges $0.0105 per 1000 tokens for prompts up to 128K tokens and $0.021 for prompts over 128K tokens. Meanwhile, GPT-4o charges $0.015 per 1000 output tokens.

At the same time, from October 1, 2024, Google is reducing prices for input tokens by 64%, for output tokens by 52%, and for additional cached tokens by 64% for the most powerful model in the 1.5 series, Gemini 1.5 Pro, for requests up to 128 thousand tokens.

This price reduction, combined with the context caching feature, further reduces the cost of using the Gemini model, making it more accessible to developers and enterprises.

Rates and query speed limits

Google offers different rates and query limits to meet the diverse needs of users.

• Standard Rate. This rate includes a standard context window of 128,000 tokens and is suitable for most text and code-related tasks.

• Extended Rate. For those who need a context window of up to 1 million tokens, Google introduces new rates that adapt to this volume. During the trial period, this feature is available for free, but users may notice slight delays in operation. It is expected that with further model optimization, the speed of operation will be significantly improved.

• Request Limits. Google also plans to increase the request limits to support more intensive use, making the model suitable for large projects and applications.

Evaluation of Long Context Tasks

Gemini 1.5 Pro excels at tasks requiring work with large amounts of data, such as:

• Needle In A Haystack, NIAH. The model successfully found embedded text in large data blocks in 99% of cases, even if the block size reached 1 million tokens.

• Machine Translation from One Book, MTOB. The model demonstrated the ability to learn a new language, such as Kalamang, from a single set of linguistic documentation, showing results comparable to human learning.

Main Features

The Gemini 1.5 Pro model also demonstrates excellent results in key areas:

• Mathematics, Science, and Logical Thinking. Gemini 1.5 Pro has significantly improved its performance in the fields of mathematics, science, and logical thinking, achieving a 38.4% increase compared to the previous version, Gemini 1.0 Pro. This achievement allows the model to solve complex mathematical problems more accurately and efficiently, conduct scientific analyses, and make well-founded conclusions. The improved algorithms and training on a large volume of data enable Gemini 1.5 Pro to handle more complex queries than ever before.

• Multilingualism. Gemini 1.5 Pro has demonstrated a 22.3% improvement in tasks related to multilingualism, significantly enhancing its ability to process and generate text in multiple languages simultaneously. This makes the model particularly valuable for international companies and organizations that need to communicate with clients and partners in different languages. The ability to work with rare languages expands the model's horizons in various cultural contexts and contributes to more effective communication.

• Understanding Videos and Images. Gemini 1.5 Pro surpasses competing models in tasks related to video and image analysis, improving its results by 16.9% in video processing and 6.5% in image processing. This achievement allows the model not only to extract useful information from visual content but also to interpret complex visual data, which is important in areas such as advertising, marketing, education, and medical diagnostics. The ability to generate descriptions for videos and images, as well as create summaries and transcriptions from audio, makes Gemini 1.5 Pro a versatile tool for creating and analyzing multimedia content.

Usage Scenarios

• Text Generation and Translation

Gemini 1.5 Pro is capable of effectively synthesizing information from large documents, such as 1000-page PDF files. The model can handle complex queries and provide relevant answers based on the content of these documents, making it a valuable tool for people working with large volumes of text where it is necessary to quickly find and extract the required data.

Thanks to improved multilingual capabilities, the Gemini 1.5 Pro model can translate text from one language to another, including rare and specialized languages. This opens up new opportunities for international companies that need to ensure accurate and high-quality translation of materials for a wide audience, including documents, marketing materials, and even user interfaces.

• Code Completion and Review

Gemini 1.5 Pro shows excellent results when working with codebases containing more than 10,000 lines of code. The model can assist developers in code completion, review, and deep understanding of complex software systems. This makes it especially useful for development teams looking to speed up the coding process and improve its quality. The model effectively analyzes large volumes of code, allowing it to identify errors and inconsistencies in software solutions. Tools for automated testing and diagnostics based on Gemini 1.5 Pro can significantly improve the development process.

• Multimodal Tasks

Gemini 1.5 Pro can process and analyze hours of video or audio content, allowing for the generation of useful content. This is especially relevant for educational institutions, media companies, and organizations working with large volumes of audio and video materials, where quick information processing is required. The model is also capable of analyzing and interpreting visual data, making it suitable for applications in image recognition and processing.

How to get access

Get free access to Google Gemini Pro 1.5 through the neural network aggregator BotHub, where the model is available both via WEB and API. This site does not require VPN, complex settings, or special knowledge to access popular LLMs. In addition to Gemini Pro 1.5, BotHub also offers many other popular models, including ChatGPT-4o1, Midjourney-6, Claude, DALL-E.

Future models

As Google continues to optimize and improve the Gemini 1.5 Pro model, we can expect further enhancements in processing speed, computational requirements, and user experience. The potential applications of the model are vast and diverse — from document analysis and code completion to video and image processing, making it a versatile tool for many AI-based projects.

It should be noted that Google has currently introduced two updated ready-made Gemini models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002:

• 2 times higher speed limit on 1.5 Flash and ~ 3 times higher on 1.5 Pro

• 2 times faster output and 3 times less latency

• Updated default filter settings

In conclusion, Gemini 1.5 Pro represents a significant step forward in AI technology, offering an impressive combination of performance, efficiency, and cost-effectiveness, making it an attractive option for anyone looking to harness the power of large language models.