Keywords AI

Google AI vs Meta AI

Compare Google AI and Meta AI side by side. Both are tools in the Foundation Models category.

Quick Comparison

	Google AI	Meta AI
Category	Foundation Models	Foundation Models
Pricing	Usage-based	Open Source
Best For	Enterprises on Google Cloud and developers building multimodal AI applications	Developers and researchers who want full control over their AI models and infrastructure
Website	ai.google	ai.meta.com
Key Features	Gemini 2.0 multimodal models 1M+ token context window Native Google Cloud integration Grounding with Google Search Vertex AI enterprise platform	Llama open-source model family Free for commercial use Self-hostable on any infrastructure Active open-source community Multiple model sizes (8B to 405B)
Use Cases	Multimodal applications combining text, image, and video Enterprise AI on Google Cloud Large-scale document processing Search-grounded AI applications Android and mobile AI integration	Self-hosted inference for data privacy Fine-tuning for domain-specific applications On-device AI for mobile and edge Research and academic use Cost-optimized inference at scale

When to Choose Google AI vs Meta AI

Choose Google AI if you need

Multimodal applications combining text, image, and video
Enterprise AI on Google Cloud
Large-scale document processing

Pricing: Usage-based

Choose Meta AI if you need

Self-hosted inference for data privacy
Fine-tuning for domain-specific applications
On-device AI for mobile and edge

Pricing: Open Source

About Google AI

Google AI develops the Gemini family of multimodal models, capable of processing text, images, audio, and video in a single model. Gemini models power Google's AI products including Bard, Search, and Workspace integrations. Available through Google Cloud's Vertex AI platform, Gemini offers competitive pricing, long context windows (up to 1M tokens), and tight integration with Google's cloud ecosystem. Google also maintains open-source models like Gemma and contributes foundational AI research through Google DeepMind.

View Google AI profile →Visit website

About Meta AI

Meta AI develops the Llama series of open-source large language models, which have become the foundation for a large portion of the open-source AI ecosystem. Llama models are freely available for commercial use, can be fine-tuned and self-hosted, and are offered through dozens of inference providers. Meta's commitment to open-source AI has made Llama one of the most widely deployed model families in the world, used by startups, enterprises, and researchers who need customizable, self-hosted AI capabilities.

View Meta AI profile →Visit website

What is Foundation Models?

Companies that train and release their own large language models and foundation models. These organizations invest in large-scale model training, publish research, and offer API access to their proprietary models.

Browse all Foundation Models tools →