Cohere
Enterprise LLM platform with text generation embeddings and rerank models, usage based pricing with published per million token rates and private deployment options.
Overview
Cohere provides foundation models for generation, retrieval, and reranking that power chatbots, search, and analytics at scale. Command family models handle reasoning and writing, Embed models create high quality vectors for retrieval, and Rerank improves search relevance using cross encoder signals. Developers start in the Playground, then call the REST API with SDKs for common stacks.
Usage is billed per million tokens with published rates, and enterprises can deploy through private networking or cloud marketplaces to meet data controls. Cohere supports evals, safety tooling, and finetune or adapters for domain accuracy. Typical rollouts include customer support agents grounded in knowledge bases, hybrid search with vectors and Rerank, and workflow automation where models label or summarize records.
With clear docs, a live console, and stable versioned endpoints, teams can move from pilot to production while keeping observability and cost tracking aligned to unit economics.
Key features
- Published token pricing: Input and output are billed per million tokens with model specific rates so costs remain predictable and forecastable for teams
- Command and Embed families: Choose models for reasoning content and vectors while Rerank boosts search precision using cross encoder scoring for ranking
- Playground and SDKs: Try prompts measure quality and move to code with official SDKs that mirror REST semantics to simplify deployment and CI
- Private connectivity: Use VPC or marketplace routes to keep traffic inside approved networks with logs that satisfy security requirements
- Adaptation options: Apply finetune or lightweight adapters to align outputs with domain terminology and style without retraining from scratch
- Evals and safety: Run structured evaluations and use safety controls to meet policy while tracking performance drift over time
Best for
- Customer support automation: Build grounded agents that pull from docs tickets and policies and escalate with audit trails when confidence is low
- Enterprise search improvement: Pair vector retrieval with Rerank to increase precision on long tail queries and multilingual corpora across regions
- Analytics summarization: Process tickets reviews and chats to extract intents trends and next steps that inform product and ops teams
- Content generation at scale: Draft emails briefs and FAQs with guardrails and review queues for brand and compliance across markets
- Knowledge base hygiene: Generate and normalize summaries titles and tags to improve findability and reduce duplicate articles in portals
- Workforce tools: Label classify and route records with consistent policies to reduce manual triage in IT HR and finance workflows
- Agent building: Compose tools memory and models to complete tasks with checkpoints and cost metrics for reliable operation
- Ecosystem integrations: Connect to vector stores data platforms and orchestration layers with examples that speed first production wins
Capabilities
Command Models
Produce structured content with controllable styles while tracking token cost and latency to meet experience targets.
Embed and Rerank
Create high quality vectors and apply cross encoder rerank to raise precision on difficult queries and multilingual corpora.
Finetune and Adapters
Align models to your domain with lightweight training strategies and evals that measure quality and drift.
Private and Observable
Run through VPC or marketplaces with logs quotas and alerts so security and finance have the visibility they expect.
Frequently Asked Questions
How does pricing start?
Cohere publishes per million token prices for inputs and outputs, entry models start around $0.30 per 1M input tokens with higher tiers for advanced models.
Is there a free trial?
Developers can create an API key and use the Playground to test prompts and measure quality before committing spend.
Can we deploy privately?
Yes, private networking and marketplace options exist so traffic stays within approved boundaries with enterprise logging.
What about multilingual search?
Embed and Rerank models support multilingual corpora which helps global teams raise precision and recall across locales.
Do you support finetuning?
Cohere offers finetune and adapter options so outputs match domain terminology without full retraining.
