
Cohere
Enterprise LLM API with Command R/R+ models and RAG tools, embeddings for B2B applications and retrieval augmented generation
Overview
Cohere is an LLM API provider specializing in enterprise applications, offering a range of pre-trained models optimized for different use cases: advanced text generation, embeddings, and reranking tasks to improve result relevance. Main models include Command R (pricing $0.50/1M input tokens, $1.50/1M output) for standard tasks, and Command R+ (pricing $2.50/1M input tokens, $10.00/1M output) for high-performance workloads. All models support long contexts and native generation with Retrieval Augmented Generation (RAG). Token-based billing with no minimum fees, with possibility of custom volume plans for large volumes.
Cohere does not offer a French interface or localized documentation: the product remains English-only. Infrastructure uses multi-region data centers (United States, Europe) with no explicit guarantee of EU data residency. A well-documented REST API and SDKs (Python, TypeScript, Go) enable direct integration into production workflows; the platform also natively integrates with LangChain, LlamaIndex and other popular RAG frameworks. Limitations include: intermediate pricing (more expensive than some self-hosted open-source models, less than GPT-4), no public fine-tuning (enterprise clients only), and models reputed to perform worse than GPT-4 on some complex reasoning tasks.
Our verdict
Best for development teams and enterprises seeking a reliable LLM API with native RAG support, without depending on OpenAI API, and with predictable consumption-based pricing. Not for you if you need the most powerful model on the market: Cohere still lags GPT-4 on the most demanding benchmarks.