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TECH 20.05.2026

Google Unveils Gemini Omni, 3.5 Flash, Reshapes AI Landscape with Drastic Price Cut

Just hours ago, Google’s annual I/O conference delivered a seismic shift in the artificial intelligence sector, headlined by the introduction of Gemini Omni, a novel ‘world model’ poised to redefine generative AI capabilities. This advanced multimodal system, showcased as a critical stride toward Artificial General Intelligence by Google DeepMind CEO Demis Hassabis, marks a significant commitment to interactive and context-aware AI. The first iteration, Gemini Omni Flash, specifically targets highly sophisticated video generation, indicating a strategic focus on dynamic, immersive content creation.

Gemini Omni distinguishes itself through its comprehensive multimodal input and output, allowing users to integrate text, audio, images, and video to generate interactive digital worlds. Google asserts that Omni will create videos with enhanced physics accuracy and a deeper understanding of contextual prompts, even historical facts, to produce more realistic and relevant content. This move signals a direct challenge to existing text-to-video tools, pushing the boundaries of what generative AI can achieve in complex simulations.

Simultaneously, Google launched Gemini 3.5 Flash globally, an accelerated model now integrating directly into core Google services. This includes powering Google Search AI Mode, enhancing AI Overviews, and driving Antigravity 2.0. Optimized for long-horizon tasks and complex agentic workflows, Gemini 3.5 Flash boasts a remarkable 12x speed improvement in Antigravity, according to Google’s internal metrics. Its immediate deployment across critical search infrastructure underscores Google’s intent to embed advanced AI deeply into daily user experiences.

The strategic offensive continued with an aggressive repricing of Google AI Ultra, slashing its monthly cost from $250 to just $100. This 60% price reduction offers subscribers a substantial upgrade: five times higher usage limits for the Gemini app compared to the $20 AI Pro tier, a generous 20 terabytes of cloud storage, YouTube Premium access, and early beta entry to Gemini Spark, Google’s new personal AI agent, scheduled for release next week. This dramatic price adjustment is the most significant AI pricing move of 2026, aiming to broaden access to Google’s most powerful AI models and accelerate adoption among power users and developers.

Further emphasizing a shift towards a compute-based model, Google announced that all Gemini tiers would replace daily prompt limits with a system that refreshes compute allowances every five hours. This change caters to intensive AI users and could optimize Google's profitability across varied workloads, allowing for more flexible and continuous engagement with their AI ecosystem. The overarching theme from Google I/O 2026, as articulated by CEO Sundar Pichai, is a decade-long commitment to an AI-first strategy, with the company evolving into a provider of AI agents that act on behalf of users across all platforms.

The ripple effects of Google's announcements are expected to reverberate throughout the industry, intensifying the competition in both foundation model development and AI-powered services. With Gemini app monthly active users exceeding 900 million, representing a twofold year-over-year growth, and Google processing 9.7 trillion tokens monthly, the scale of this technological deployment is immense. The introduction of sophisticated, context-aware generative models like Omni and the performance enhancements in Gemini 3.5 Flash, coupled with accessible pricing, positions Google to capture a larger share of the burgeoning AI market.

While Google’s announcements dominated, other significant developments emerged. Cohere, for instance, unveiled Command A+, an open-source Mixture-of-Experts (MoE) model designed specifically for sovereign critical infrastructure. Released under an Apache 2.0 license, Command A+ aims to provide enterprises and public sector organizations with enhanced transparency, control, and efficiency for AI deployment while adhering to stringent security and data sovereignty standards. This emphasizes a growing market demand for customizable, auditable AI solutions outside of proprietary ecosystems, particularly for sensitive applications where data control is paramount.

The European Commission also made a key regulatory move, publishing its Draft Commission Guidelines for classifying high-risk AI systems under Article 6 of Regulation (EU) 2024/1689 on May 19, 2026. These guidelines, while non-binding, offer the clearest indication yet of how the Commission and national market surveillance authorities will approach AI system assessments, potentially shaping development and deployment strategies across Europe. This underscores the increasing global focus on governing AI development responsibly, even as innovation accelerates.

The simultaneous push from technology giants like Google with highly capable, integrated models and the parallel development of open-source, sovereign alternatives like Cohere's Command A+ suggests a bifurcating AI landscape. One path emphasizes broad consumer accessibility and deep integration into existing services, while the other prioritizes bespoke control and transparency for specialized, high-stakes environments. How these two trajectories intersect and influence future AI adoption remains to be seen, particularly as regulatory frameworks continue to solidify around both approaches.

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