NEW Gemini 2.5 Pro Deep Think, Veo 3, Jules Coder, Gemma 3n, 2.5 Flash, & MORE!

Google's annual developer conference introduces several new models and features, including the Gemini 2.5 Pro Deep Think model. This new version enhances AI performance by introducing 'Deepthink', a reasoning mode that simulates parallel hypothesis testing, allowing the model to pause, think, and evaluate multiple pathways before generating an answer. It sets a new AI performance standard, outperforming its predecessor on benchmarks such as USA MO math, MMU for multimodal reasoning, and live codebench for advanced coding tasks. The Deep Think model is only available through the Google AI Ultra plan at $249.99/month ($124.99 for the first three months), which also provides access to other models like V3 and Flow. Although currently US-only, this model promises to change how AI handles complex tasks and coding.

Google unveils the Gemini 2.5 Flash, a high-speed, cost-efficient version of the Gemini 2.5 Pro. Optimized for low latency, this model uses 20-30% fewer tokens for the same tasks, supports long context with multimodal input, and includes features like native audio output, multi-speaker text-to-speech, and boosted security against prompt injection. The Gemini 2.Google AI Updates5 Flash excels in performance for reasoning and scientific tasks, though it slightly lags in coding. Available in Google AI Studio, the Gemini app, and soon through Vertex AI, it offers a budget-friendly alternative to other high-end models such as OpenAI's Claw 3.7 and DeepSeek R1.

The new Gemma 3N model is a multimodal AI solution designed specifically for mobile and edge users. Despite its small size, the 4 billion parameter model rivals larger models like GPT-4.1 Nano and Llama 4 Maverick in performance, excelling in text, image, audio, and video tasks. The Gemma 3N is ideal for on-device AI tasks such as AR overlays, instant translations, and personal assistance, offering powerful performance on low-power devices. Its compact size and efficiency make it a standout in mobile AI applications.

Google introduces the VO30 model, setting a new standard for video generation. This high-fidelity model outperforms competitors like Sora with its ability to generate 4K realism in video, complete with sound, dialogue, and ambient noise. Designed for content creators, educators, and marketers, VO30 can be paired with Gemini for video generation from structured prompts. The model elevates video creation to cinematic levels, promising a powerful tool for storytellers. Additionally, Google introduces Flow, a creative tool that automates film scene creation from text prompts, using the V3 model and Gemini integration.

The Gemini Code Assist product gets a major upgrade with the Gemini 2.5, making it even more powerful. The new version now supports the 2.5 Pro and the Deep Think model, which will be available for handling complex logic problems once fully deployed. It supports larger codebases with a 2 million token context and offers features like code reviews, inline suggestions, and debugging tips. Gemini Code Assist can automatically detect and fix bugs in Google Collab Notebooks, offering developers a free and robust AI coding companion.

Firebase Studio introduces a groundbreaking feature that allows developers to convert Figma designs into functional frontends in minutes. Using the Gemini 2.5 Pro model, Firebase Studio automates the creation of backend systems and databases while optimizing the app's layout and logic. This feature enables rapid development, streamlining the process from design to deployment and greatly enhancing the developer's workflow.

Google introduces Jewels, a coding agent designed to assist developers asynchronously by tracking tasks and automating problem-solving. Operating with Gemini 2.5, Jewels can handle bug fixes, refactors, and prototyping autonomously, providing a silent, efficient teammate. By submitting pull requests and collaborating with the developer, Jewels is a step forward in AI-driven coding assistance. This new model presents a unique approach to integrating AI into the software development process, offering a glimpse into the future of autonomous collaboration in coding.

The video highlights other significant updates from Google's developer conference, including the release of a new diffusion model (ImageGen 4) to rival OpenAI's image generation model. There are more innovations in the AI space that were covered, and viewers are encouraged to check out additional resources like Twitter threads and links in the description to learn more about these cutting-edge developments. The video also encourages subscribing to the channel, joining the Discord, and following for ongoing AI news and content.

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