Google is seeking to make a space for itself in the AI ecosystem, and to do so it has made a strong price adjustment to its AI services, in order to attract new users and compete with its main competitors: OpenAI, Anthropic, xAI and Mistral.
In a strategic move to strengthen its position in the artificial intelligence (AI) market, Google has announced significant price reductions and performance improvements for its Gemini platform.
These changes, which include the introduction of new models and the optimization of existing ones, seek to attract more developers and companies, facilitating the adoption of AI technologies in sectors such as e-commerce and retail.
Price reduction and increased performance
Google has reduced the price of the Gemini-1.5-Pro model by more than 50%, for both inputs and outputs in prompts of up to 128.000 tokensThis measure, together with the increase in rate limits for the 1.5 Flash and 1.5 Pro models, seeks to make the platform more accessible and attractive to a greater number of users.
Thus, The Gemini-1.5 Pro model is now significantly more affordable, making it more affordable for startups and small businesses that were previously under budget. Additionally, speed limits for the 1.5 Flash model have been doubled to 2.000 requests per minute (RPM), while for the 1.5 Pro they have been tripled to 1.000 RPM, improving the ability to handle more intensive workloads.
But not only that, Google has also fine-tuned its models. More specifically, Google reports an approximate 7% increase in scores on the MMLU-Pro benchmark, which measures general knowledge and reasoning skills. Additionally, both models have shown a considerable 20% improvement in math-related benchmarks, making them more accurate and efficient for complex tasks.
This can be corroborated in Lmsys Leaderboard, a well-known AI evaluation space, where Google occupies the 3rd and 4th positions, with very little difference from its main competitor: OpenAI and its GPT4 and o1 models.
In addition to this, Google has also expanded the context window so that models can now process up to 2 million tokens (approx. 1,5 million words), allowing them to handle long documents and multimedia inputs more easily. This feature is especially useful for projects with large datasets.
New features and functions for Gemini
In addition to performance and efficiency improvements, Google has introduced several new features and functions:
- Gems (Custom AI Assistants): This feature allows users to create custom AI assistants for specific tasks, which can be very useful for automating processes in e-commerce and retail.
- Imagen 3: An advanced image generation model that produces higher quality images from text prompts.
- Gemini Live: Improves conversational AI interactions through voice conversations, which can be beneficial for customer services and chatbots.
Impact on businesses and users
Of course, recent improvements and price reductions in the artificial intelligence (AI) space have a significant impact on businesses and Gemini users. First, cost savings make advanced AI models more accessible, especially for startups, small businesses, and freelancers.
This, in turn, translates into greater efficiency, as performance improvements enable organizations to handle more complex and data-intensive tasks or tasks specific to their users. This is especially true thanks to Gems, which makes it much easier to generate agents to suit the specific needs of your users.Additionally, changes to the default filters give developers greater control over content moderation, allowing them to tailor the platform to their specific needs.
A tough competition
This context of innovation and competition is set in an increasingly intense AI market, where companies such as OpenAI, Anthropic and Mistral are also looking to capture a significant share. In this sense, Google hopes that these improvements and price reductions will attract more developers and companies, which could result in greater adoption of its AI technologies.
With these updates, Google is looking to consolidate its position as a leading provider of AI tools for developers and businesses. Performance improvements, cost reductions, and the introduction of new features make Gemini a more attractive option for those looking to implement advanced AI solutions in their workflows.
In short, Google is taking decisive steps to make its AI platform more accessible and engaging, which could have a significant impact on the adoption of AI technologies across a range of industries.
