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Choose the infrastructure your AI application needs.

Model access, routing, usage controls, and agent execution are different parts of the stack. Compare the services you need to integrate and operate.

Vercel AI Gateway

A gateway for access to models across text, image, video, and audio. Its offer emphasizes broad model coverage, provider routing, unified billing, and no token markup.

Evaluate it for model breadth, routing, and integration with the Vercel AI SDK.

Vercel’s product details ↗

Cloudflare AI Gateway

A control plane for model requests, with dynamic routing, response caching, usage analytics, billing, and logs. It supports OpenAI SDK and AI SDK integrations.

Evaluate it for request routing, caching, and controls within the Cloudflare stack.

Cloudflare’s product details ↗

Ingram Cloud

Model access and usage controls alongside hosted agent execution, MCP tools, memory, and document retrieval. OpenAI, Anthropic, and Gemini share an OpenAI-compatible chat interface.

Evaluate it when you want the platform to run tools and maintain application context as well as handle model requests.

Explore platform capabilities →

Compare the complete integration and cost.

Ingram Cloud charges a platform fee on model usage, including requests with your own provider keys. Storage is billed separately. Chat requests also use a configured agent and user identity; the quickstart covers the required setup.

Product summaries checked against the linked official pages on September 10, 2026. Follow those pages for current coverage and terms.

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