Keywords AI

Anthropic vs Cohere

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

Quick Comparison

Anthropic
Anthropic
Cohere
Cohere
CategoryFoundation ModelsFoundation Models
PricingUsage-basedUsage-based
Best ForDevelopers and enterprises who need reliable, safe, and capable AI for production applicationsEnterprises building RAG-powered search and knowledge applications
Websiteanthropic.comcohere.com
Key Features
  • Claude 4 and Claude 3.5 Sonnet models
  • 200K token context window
  • Computer use and tool use capabilities
  • Strong safety and instruction following
  • Claude Code for autonomous coding
  • Command R+ for RAG applications
  • Enterprise-grade embeddings
  • Rerank API for search quality
  • Fine-tuning with custom data
  • Multilingual support in 100+ languages
Use Cases
  • Long document analysis and summarization
  • Complex reasoning and research tasks
  • Autonomous coding and software engineering
  • Safe customer-facing AI applications
  • Enterprise workflow automation
  • Retrieval-augmented generation pipelines
  • Enterprise search and knowledge management
  • Multilingual content processing
  • Document classification and analysis
  • Custom model training for specific domains

When to Choose Anthropic vs Cohere

Anthropic
Choose Anthropic if you need
  • Long document analysis and summarization
  • Complex reasoning and research tasks
  • Autonomous coding and software engineering
Pricing: Usage-based
Cohere
Choose Cohere if you need
  • Retrieval-augmented generation pipelines
  • Enterprise search and knowledge management
  • Multilingual content processing
Pricing: Usage-based

About Anthropic

Anthropic builds the Claude family of AI models, known for their strong reasoning capabilities, large context windows (up to 200K tokens), and emphasis on AI safety. Claude is widely regarded as one of the best models for coding, analysis, and long-document understanding. Anthropic pioneered Constitutional AI and the Model Context Protocol (MCP), an open standard for tool use and agent interoperability. The company serves enterprise customers through its API and the Claude.ai consumer product, with a focus on building reliable, steerable, and honest AI systems.

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.

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.

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