Enterprise AI for business
Visit WebsiteTL;DR - Cohere
- Enterprise AI platform with free tier and pay-as-you-go API for language models
- Command models for generation, Aya Expanse for 23 languages, and Embed for semantic search
- SOC 2 compliant with private deployment options for regulated industries
Pricing: Free plan available
Best for: Growing teams
4.3/5 across review platforms
Pros & Cons
Pros
- Enterprise focus
- Great embeddings
- Data privacy
Cons
- Less known
- Smaller community
Ratings Across the Web
4.3(194 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Text generationEmbeddingsRerankRAG toolkitFine-tuningMulti-language supportEnterprise security
Pricing Plans
Free TrialTrial
$0
- Free with rate limits
- Not for production
- Testing and exploration
Command
$1/1M tokens input
- $2/1M output tokens
- Pay-as-you-go
- Monthly billing
Command R+
$2.50/1M tokens input
- $10/1M output tokens
- Advanced model
- Production-ready
Enterprise
Custom
- North and Compass systems
- AI agents
- Intelligent search
- Custom pricing
What is Cohere?
Cohere provides enterprise AI models and tools for natural language processing, including text generation, embeddings, and retrieval-augmented generation.
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Cohere FAQ
What is Cohere?
Cohere is an enterprise AI company providing LLMs for text generation, semantic search, and retrieval-augmented generation with a focus on business applications.
How much does Cohere cost?
Cohere uses pay-as-you-go pricing starting at $0.30/million tokens for Command Light and $1/million tokens for Command. Enterprise plans have custom pricing.
What is Cohere Command?
Command is Cohere's flagship LLM for text generation, summarization, and conversational AI, available in standard and light versions.
Does Cohere support embeddings?
Yes, Cohere offers Embed models for creating text embeddings used in semantic search, clustering, and classification.
What is Cohere Rerank?
Rerank is a model that improves search results by reordering documents based on relevance to a query, commonly used in RAG pipelines.
Source: cohere.com