Google DeepMind: review, test, pricing and alternatives (2026)

Google DeepMind is Google's AI lab — born from merging DeepMind (AlphaGo, AlphaFold) with Google Brain. It builds the models behind almost all of Google's consumer AI. Rather than a separate page per model, we gather the core of its lineup here, with a clear pointer to what each one does.

What it offers as AI: • Gemini — the flagship multimodal assistant and language model (text, image, audio, code), shipped in several sizes and woven throughout the Google ecosystem (see its dedicated page). • Veo — text- or image-to-video generation, with its signature move: synchronized audio (sound effects, ambiences, even dialogue) generated alongside the picture. Ideal for short content, storyboarding and previsualization, accessible via the Gemini app and the Flow tool. • Imagen — the photorealistic image-generation model, tuned for quality and prompt fidelity (see its dedicated page). • Nano Banana — image generation and, above all, edit-by-dialogue right inside Gemini ('remove the car', 'keep the same character in a different setting'); its strength is consistency, long the Achilles' heel of image generation. • On the research side — AlphaFold (protein structure), and efforts like 'Co-Scientist' or 'Gemini for Science' pushing AI toward scientific discovery.

How to access it: the Gemini app and site for consumers, Google AI Studio to prototype, and Vertex AI on the enterprise side. The free tier (via Gemini) is generous; the most capable models and larger quotas come with the subscription.

Keep in mind, as with the whole Google ecosystem: product names, versions and quotas move very fast (what's called 'Nano Banana' or 'Veo 3' today may be renamed tomorrow), access depends on your plan, and usage rights should be checked for your case. Always verify the current version on the official site before serious use.

The best entry point to understand Google's AI offer: an impressive multimodal lineup, as long as you accept that names and versions change fast.