Cohere settings guide
Cohere · Enterprise LLM · RAG · Multilingual
- Token burn
- Medium burn
Moderate; a few settings changes save money. Last reviewed May 2026; plans and model names change often, so check the tool's own pricing page before you buy.
Cohere Command models are built for retrieval-augmented generation (RAG): answers grounded in the documents you provide, with citations.
Use Cohere Embed for semantic search; its multilingual model covers many languages, useful for Hindi and regional-language documents.
Cohere Rerank re-orders search results by relevance before sending to the LLM.
Command R+ has a dedicated grounded generation mode — pass your source documents as 'documents' parameter and the model cites its sources automatically in every response.
For Indian enterprises with GDPR or data sovereignty needs, Cohere offers private deployment on Azure and AWS with no data leaving your cloud environment.
Cohere's free tier includes 1,000 API calls/month — enough to prototype a full RAG application before committing to paid usage.
Use Cohere's Playground to test prompts and compare Command R vs Command R+ side by side.
API cost estimate
Monthly cost at list prices (September 2026), before and after a token cut you choose.
- Now
- $4.80
- ₹403
- After a 25% cut
- $3.60
- ₹302
- Saved per month
- $1.20
- ₹101
Assumes about 1,500 input and 500 output tokens per request (medium burn). Excludes caching discounts, search or request fees and taxes. Check the vendor's pricing page before budgeting.
Reveaxa guide reference: RVX-T-cohere
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