The Gemini 2.5 Pro Deep Think model is a groundbreaking advancement in AI technology, taking reasoning capabilities to unprecedented levels. This new version of the Gemini 2.5 Pro model introduces a "Deep Think" mode that simulates parallel hypothesis testing, enabling the model to pause, think, and evaluate multiple pathways before generating a response.

The Deep Think mode sets a new standard in AI performance, greatly outpacing its predecessor. It tops the 2025 USA MO math benchmark scores with an 84% on MMU for multimodal reasoning, and excels at live codebench with advanced coding capabilities.

Key features of the Gemini 2.5 Pro Deep Think model include:

• Thinking budgets for controlled reasoning
• Thought summaries for transparency
• Availability through the Gemini API for trusted testers, with broader access to follow

However, there is a caveat: the Deep Think model is currently only accessible through the Google AI Ultra plan, which carries a monthly subscription fee of $249.99 (with a discounted rate of $124.99 for the first 3 months). This plan is currently only available in the United States, with plans to expand to more countries in the future.

Despite the exclusivity and cost, the Gemini 2.5 Pro Deep Think model represents a significant leap forward in AI reasoning and problem-solving capabilities, setting a new benchmark for the industry.

The Gemini 2.5 Flash is a new addition to Google's AI lineup, offering an affordable and high-performance alternative to other state-of-the-art models. This lean, high-speed sibling of the Gemini 2.5 Pro is optimized for low latency and cost efficiency, while still delivering advanced capabilities.

The Gemini 2.5 Flash uses 20-30% fewer tokens to complete the same tasks as its predecessor, making it a more efficient and cost-effective option. It supports long-form context and multi-modal input, as well as a range of reasoning tasks. Additionally, the model boasts native audio output and multi-speaker text-to-speech integration, along with enhanced security against prompt injection.

Compared to models like OpenAI's GPT-3.7, Sonic Grog 3, and DeepSeek R1, the Gemini 2.5 Flash offers impressive performance across a variety of benchmarks, including reasoning, science, and coding tasks. While it may be slightly behind the top-tier models, it still delivers a strong and reliable performance, making it a compelling choice for a wide range of applications.

The Gemini 2.5 Flash is now available through the Google AI Studio, the Gemini app, and soon through Vertex AI, providing users with easy access to this powerful and cost-effective AI model.

The Gemma 3N is a groundbreaking multimodal model that packs a punch in a compact package. This 4 billion parameter model is optimized for mobile and edge devices, offering advanced capabilities that rival much larger models.

Despite its diminutive size, the Gemma 3N supports text, image, audio, and video input, making it a versatile tool for a wide range of on-device AI tasks. From AR overlays and instant translations to personal assistants, this model is designed to deliver powerful performance on low-power devices.

What's truly remarkable is the Gemma 3N's ability to outperform significantly larger models, such as the GBT 4.1 Nano, Llama 4 Maverick, and 54. This achievement showcases the impressive efficiency and optimization of the model, making it a game-changer in the world of mobile and edge AI.

With its lightweight design and advanced capabilities, the Gemma 3N is poised to revolutionize the way we interact with AI on our everyday devices. Whether you're a developer, content creator, or simply someone looking to harness the power of on-device AI, the Gemma 3N is a must-have tool in your arsenal.

Google's annual developer conference saw the highly anticipated release of the Veo 3 model, a game-changing advancement in video generation technology. This high-fidelity video generation model with sound and dialogue pushes the boundaries of what's possible in the realm of cinematic-level video creation.

The Veo 3 model is designed to cater to the needs of storytellers, educators, marketers, and content creators, enabling them to generate stunning 4K videos with native sound, dialogue, and ambient noise. The level of realism and immersion achieved by this model is truly remarkable, as demonstrated by the captivating live demos.

Notably, the Veo 3 can be seamlessly integrated with the Gemini model, allowing users to generate videos directly from structured prompts. This powerful combination opens up new avenues for streamlining the content creation process and unleashing the creative potential of users across various industries.

With the introduction of the Veo 3, Google has solidified its position as a leader in video generation technology, setting a new standard that rivals and outpaces existing models in the market. This groundbreaking release is set to revolutionize the way we approach video creation, empowering creators to bring their visions to life with unprecedented ease and realism.

The Gemini Code Assist has received a significant upgrade, making it an even more powerful AI-driven coding companion. With the 2.5 version, it now supports the advanced Gemini 2.5 Pro model, including the new Deep Think capabilities.

The enhanced Gemini Code Assist offers a range of impressive features:

• Expanded Context Support: The tool now supports a 2 million token context, allowing it to handle larger codebases with ease.
• Inline Suggestions and Debugging Tips: The AI-powered assistant can automatically detect and suggest fixes for bugs within Google Colab Notebooks.
• Code Reviews and Optimization: Gemini Code Assist provides inline suggestions and code reviews to help optimize your codebase.
• Deep Think Integration: When the Gemini 2.5 Pro Deep Think model becomes fully available, the Code Assist will leverage its advanced reasoning capabilities to tackle tougher logic problems.

This upgraded Gemini Code Assist is a free and accessible tool that can significantly boost your coding productivity and efficiency. By harnessing the power of the latest Gemini models, developers can now enjoy a more intelligent and collaborative coding experience.

Google has introduced a groundbreaking feature in Firebase Studio that allows developers to rapidly transform Figma designs into functional front-end applications. This new capability streamlines the development process by automating the conversion of Figma designs into fully-fledged front-end interfaces, complete with optimized layouts and logic.

The key highlight of this feature is its ability to not only generate the front-end but also automatically create the necessary back-end systems and databases. By leveraging the power of the Gemini 2.5 Pro model under the hood, Firebase Studio can analyze the Figma design, understand the application's requirements, and then proceed to set up the entire infrastructure, saving developers significant time and effort.

This integration between Figma and Firebase Studio represents a significant leap forward in the world of rapid application development. Developers can now focus on the creative aspects of their projects, while Firebase Studio handles the technical implementation, ensuring a seamless transition from design to deployment.

With this new feature, developers can expect to see a significant reduction in the time and resources required to bring their Figma-designed applications to life, ultimately enabling them to deliver high-quality, feature-rich applications to their users more efficiently.

Google has introduced a new coding agent called Jules, which is a silent teammate that tracks your to-dos while you sleep. Jules is a competitor to the new OpenAI Codeex, which is capable of handling bug fixes, refactors, and feature prototyping automatically.

Jules works asynchronously with your codebase and operates on the Gemini 2.5 capabilities. With Jules, you simply write the problem, and it will find a way to create a solution and submit pull requests. This introduces a new and unique way of collaboration with AI, where an AI developer takes control of all your tasks autonomously.

The key features of Jules include:

• Asynchronous operation with your codebase
• Leverages the Gemini 2.5 capabilities for problem-solving
• Automatically creates solutions and submits pull requests
• Frees up developers to focus on higher-level tasks
• Seamless integration with your existing workflow

With the introduction of Jules, Google is pushing the boundaries of AI-powered coding assistance, providing developers with a powerful tool to streamline their workflow and boost productivity.

The release of the Gemini 2.5 Pro Deep Think model by Google is a significant advancement in AI technology. This new version of the Gemini 2.5 Pro takes reasoning to a whole new level, with its ability to simulate parallel hypothesis testing and pause, think, and evaluate multiple pathways before generating an answer.

The Deep Think model outperforms its predecessor, the Gemini 2.5 Pro, on various benchmarks, including the 2025 USA MO math benchmark, MMU for multimodal reasoning, and live codebench with advanced coding capabilities.

Key features of the Deep Think model include thinking budgets for controlled reasoning and thought summaries for transparency. However, the model is currently only available through the Google AI Ultra plan, which comes with a hefty price tag of $249.99 per month.

In addition to the Deep Think model, Google also introduced the Gemini 2.5 Flash, a faster, smarter, and cheaper model optimized for low latency and cost efficiency, as well as the Gemma 3N, a tiny yet mighty multimodal model for mobile and edge users.

The release of the VO30 model, a high-fidelity video generation model with sound and dialogue, and the introduction of Flow, a text-to-film studio, further showcase Google's advancements in AI technology.

Overall, the announcements made at Google's annual developer conference demonstrate the company's commitment to pushing the boundaries of AI and providing innovative solutions for developers, content creators, and users alike.