Keywords AI

Cohere vs Google AI

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

Quick Comparison

	Cohere	Google AI
Category	Foundation Models	Foundation Models
Pricing	Usage-based	Usage-based
Best For	Enterprises building RAG-powered search and knowledge applications	Enterprises on Google Cloud and developers building multimodal AI applications
Website	cohere.com	ai.google
Key Features	Command R+ for RAG applications Enterprise-grade embeddings Rerank API for search quality Fine-tuning with custom data Multilingual support in 100+ languages	Gemini 2.0 multimodal models 1M+ token context window Native Google Cloud integration Grounding with Google Search Vertex AI enterprise platform
Use Cases	Retrieval-augmented generation pipelines Enterprise search and knowledge management Multilingual content processing Document classification and analysis Custom model training for specific domains	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

When to Choose Cohere vs Google AI

Choose Cohere if you need

Retrieval-augmented generation pipelines
Enterprise search and knowledge management
Multilingual content processing

Pricing: Usage-based

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

About Cohere

Cohere provides enterprise-focused language models optimized for business applications including search, classification, and retrieval-augmented generation (RAG). Their Command, Embed, and Rerank models are designed for production workloads with features like fine-tuning, private deployments, and multi-language support across 100+ languages. Cohere differentiates with its focus on enterprise security, compliance, and the ability to deploy models on any cloud or on-premises infrastructure.

View Cohere profile →Visit website

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

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 →