Cohere review: A data-backed look

Cohere overview

Cohere is a secure, enterprise-grade AI platform offering large language models, retrieval-augmented search, and fine-tuned tools. It helps developers and organizations generate text, summarize documents, build chatbots, and analyze language, all within private and compliance-ready environments.

Its core values lie in accuracy, cost efficiency, and data privacy. It serves enterprises needing scalable, customizable NLP. Positioned as a behind‑the‑scenes “AI engine,” Cohere empowers business systems without a consumer brand presence.

How much do businesses spend on Cohere?

The chart below illustrates the average quarterly spending on Cohere across different business sizes.

Mid-market and enterprise businesses demonstrate highly volatile spending on Cohere, with quarterly expenditure showing initial moderate levels followed by a substantial surge in the final quarter.

Micro businesses exhibit fluctuating spending patterns, with notable peaks and valleys throughout the measured period, before stabilizing at moderate levels.

Small and medium-sized businesses maintain the most consistent spending pattern, showing gradual decline over the quarters with minimal variation.

The data reveal dynamic adoption patterns, where larger organizations are rapidly scaling their investment in Cohere's platform, while smaller business segments exhibit more experimental spending behaviors.

Who is Cohere best for?

The chart below breaks down Cohere’s user base by industry and business size.

Micro businesses represent the largest portion of Cohere's user base, comprising the dominant segment of platform adoption.

Small and medium-sized companies constitute a significant portion of users, while mid-market and enterprise businesses represent a substantial but smaller segment.

Cohere key features

Command models

• What it does: Provides enterprise-grade LLMs (e.g. Command-A, Command-R/R+) optimized for long-context, multilingual, and tool-augmented workflows.
• Key benefit: Delivers efficient, scalable AI suited for complex business tasks and global operations.

Powerful embeddings

• What it does: Converts text (and images) into high-quality vector representations using Embed-English and multilingual models.
• Key benefit: Enables accurate semantic search, clustering, classification, and recommendation systems.

Rerank/re-ranking models

• What it does: Refines search result rankings using rerank models to improve relevance after initial retrieval.
• Key benefit: Increases answer precision and cuts processing costs by filtering content.

Retrieval-augmented generation (RAG)

• What it does: Integrates external knowledge via connectors into LLM prompts for grounded responses.
• Key benefit: Reduces hallucination and improves factual accuracy by grounding output in real data.

Text generation and summarization

• What it does: Uses LLMs to produce or summarize content, including chat, copywriting, and report drafting.
• Key benefit: Speeds up content workflows and reduces manual writing effort.

Multilingual support

• What it does: Supports over 100 languages with strong performance in key languages via Command-A and embed models.
• Key benefit: Enables global reach and consistent performance across diverse user bases.

Aya Vision (multimodal)

• What it does: Interprets images and text together to perform tasks like captioning or visual question answering.
• Key benefit: Extends AI use into vision tasks, reducing need for separate tools.

Cohere pricing

Cohere pros & cons

Cohere is a good fit if:

• Your team needs scalable models for long-context enterprise and language tasks.
• Your team needs accurate reranking and semantic search across large document sets.
• Your team needs language support for over 100 global regions and markets.
• Your team needs strict privacy, compliance, and enterprise-grade data handling controls.
• Your team needs to build RAG pipelines or internal-facing AI chat tools.
• Your team needs fine-tuned models for classification, search, or summarization tasks.
• Your team needs advanced reranking to boost response accuracy and reduce hallucination.

Consider alternatives if:

• Your team needs built-in tools for image, audio, or video generation.
• Your team needs fully open-source or self-hosted model deployment options.
• Your team needs newer creative models focused on generative content outputs.
• Your team needs low-code tools or visual interfaces for faster setup.
• Your team needs lightweight models that require minimal tuning or resources.