CoherePaid
An enterprise-focused foundation model provider, with strong retrieval, reranking, and multilingual models plus private deployment options.
AI / LLM comparison
Pricing, pros, cons, and ideal use cases — side by side.
An enterprise-focused foundation model provider, with strong retrieval, reranking, and multilingual models plus private deployment options.
OpenAI first-party agent toolkit — a visual Agent Builder, embeddable ChatKit UI, a connector registry, and evals, billed at plain API rates.
| Cohere | OpenAI AgentKit | |
|---|---|---|
| Pricing | PaidUsage-based API pricing. Private and on-prem deployments are quoted for enterprise. | FreemiumNo separate platform fee. Agent Builder design is free; you pay standard OpenAI API model and storage rates for execution. As a reference point, GPT-5.2 runs roughly $1.75 per million input tokens and $14 per million output tokens, with GPT-5 mini at about $0.25 per million input tokens. |
| Category | AI / LLM | AI / LLM |
| Ideal for | Enterprises building RAG and semantic searchRegulated industries needing private deploymentMultilingual and global organizations | Product teams embedding agents into their own softwareEngineering teams already building on the OpenAI APIStartups that want agent scaffolding without a platform feeTeams standardizing evals alongside agent development |
OpenAI AgentKit is the lighter-weight option (Freemium), while Cohere sits higher on the pricing ladder (Paid). Cohere is built around enterprises building rag and semantic search; OpenAI AgentKit leans more toward product teams embedding agents into their own software. Shortlist the one whose strengths line up with your biggest constraint.