Cohere API Pricing and Model Catalog: Use-Case Guide
Cohere specializes in embedding, reranking, and enterprise search. Here's how to use their API cost-effectively.
Pricing data sourced from our catalog. Check data sources for provenance and freshness.
What is Cohere?
Cohere is an enterprise AI platform specializing in:
- Embeddings: High-quality text embeddings for search and retrieval
- Reranking: Improving search result quality
- Chat: Enterprise-grade conversational AI
- Classification: Text classification for enterprise workflows
Cohere model catalog
Chat models
| Model | Input | Output | Context |
|---|
Embedding models
| Model | Input | Context |
|---|---|---|
| embed-english-light-v2.0 | $0.1000 | 1K |
| embed-english-light-v3.0 | $0.1000 | 1K |
| embed-english-v2.0 | $0.1000 | 4K |
| embed-english-v3.0 | $0.1000 | 1K |
| embed-multilingual-v2.0 | $0.1000 | 1K |
Cost estimation example
Let's estimate costs for a typical Cohere chat workload:
Cohere strengths
- Best-in-class embeddings: State-of-the-art embedding models
- Reranking: Unique reranking capability for search quality
- Enterprise focus: Built for enterprise deployment
- Multilingual: Strong multilingual support
- Citation support: Built-in citation generation
Cost optimization tips
- Use embeddings for search: Cohere's embeddings are highly optimized for search
- Add reranking: Improve search quality with reranking
- Batch processing: Process multiple documents together
- Caching: Cache embeddings for unchanged documents
- Right-size your model: Use smaller models for less critical tasks
Compare Cohere models
Ready to compare Cohere models side by side? Use our tools:
Related guides
Cheapest embedding models
Token-heavy input prices matter when embedding large document collections.
Building a RAG application
How to combine embeddings with LLMs for retrieval-augmented generation.
Cross-provider pricing comparison
How pricing compares across OpenAI, Anthropic, Google, Mistral, and DeepSeek.
Hidden costs of LLM APIs
Rate limits, latency, evaluation overhead, and vendor risk beyond per-token pricing.
Frequently asked questions
What is Cohere's cheapest model?
Cohere's Command R models are typically the most cost-effective for chat workloads.
How does Cohere compare to OpenAI for embeddings?
Cohere's embedding models are highly competitive with OpenAI's, often with better multilingual support.
Does Cohere offer batch pricing?
Yes, Cohere offers batch processing for embedding and reranking workloads.