Google launches Gemini 3.5 Flash optimized for agents and Omni, the IA handyman model
Google introduced Gemini 3.5 Flash, its most efficient model for AI agents, and Omni, a versatile model capable of performing multiple tasks.

Google officially announced Gemini 3.5 Flash, an optimized model for AI agents, and Omni, described as a versatile handyman model. The novelties, revealed in May 2026, represent a new generation of artificial intelligence of the search giant, as already reported by the portal, focused on autonomy and range of tasks. The Gemini 3.5 Flash promises superior efficiency for active systems, while Omni consolidates multiple capabilities in a single model.
What is Gemini 3.5 Flash and its optimization for AI agents?
The Gemini 3.5 Flash is designed specifically to feed AI agents — autonomous systems that plan, execute and iterate on complex tasks without constant human intervention. According to Ars Technicala, the model prioritizes reduced latency and high chained reasoning capacity, essential features for scenarios such as business workflow automation, autonomous research and orchestration of external tools. Google claims that 3.5 Flash surpasses previous versions in sub-task planning and execution benchmarks, making it the ideal choice for developers who build production-ready agents.
Omni: the do-it-all model that unifies AI tasks
Unlike the Flash, Omni is a do-all model that unifies in a single architecture capabilities that previously required multiple specialized models. Omni can process text, images, audio and video, and perform actions such as web browsing, interpreting graphics and even controlling software — all without changing models. The idea is to simplify the development of applications that require multidisciplinary skills, eliminating the complexity of integrating various services. Google describes Omni as a 'universal brain' for virtual wizards, personal automation and intelligent user interfaces.
Impact of Gemini 3.5 Flash and Omni for developers in Brazil
For the AI community in Brazil, the release represents an opportunity to access more powerful models without having to manage multiple APIs or train models from scratch. The Gemini 3.5 Flash allows you to create agents for customer service, data analysis and automation of processes with less costs, while Omni enables multilingual and multimodal assistants who understand local contexts. Brazilian companies that already invest in intelligent automation, such as the PwC consultancy that stacked on Claude da Anthropic, can now consider Google's solutions as a competitive alternative.
Gemini 3.5 Flash and Omni availability forecast
Google did not release an exact public release date, but indicated that Gemini 3.5 Flash will be first available to developers via API, probably still in 2026. Omni, because it is more complex, should arrive in beta in the following months. Both novelties will gradually be integrated into Google products such as Assistant and Cloud AI.
Frequently Asked Questions about Gemini 3.5 Flash and Omni
The Gemini 3.5 Flash replaces the previous models of the Gemini family?
Yes, it is positioned as the evolution of the original Gemini Flash, with a specific focus on agents — but it does not replace models like Gemini Ultra, which follows focused on deep thinking tasks and creative content generation.
Can Omni really do any homework?
The name 'do-all' is a metaphor for its versatility, but the model has limitations — for example, it does not perform physical tasks. Its strength is in unifying multiple digital capabilities (text, image, audio, action) in a single API.
Will these models be free for independent developers?
To date, Google has not detailed prices, but it is expected that Gemini 3.5 Flash follows the Google Cloud AI token pricing model with a limited free layer, while Omni must have higher costs due to its complexity.
Source: arstechnica.com

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Manu RamalhoSou Manu Ramalho, publicitária com 16 anos de estrada conectando marcas e pessoas. Como fundadora da EME Marketing Digital, sempre busquei o marketing estratégico para gerar conexões autênticas. Aqui, mergulho na fronteira da inteligência artificial como analista de tendências. Meu foco é traduzir a complexidade de NLP, novos modelos de linguagem e papers acadêmicos para o mundo real, sempre com um olhar atento à regulamentação, ética e aos impactos sociais que essa tecnologia imprime na nossa sociedade.


