Choosing a Multimodal AI API in 2026: Match the Platform to the Workload

I wouldn’t pick a multimodal API by counting models. I’d start with what the application actually does: synchronous text requests, occasional image generation, thousands of queued video jobs, or inference behind enterprise IAM. Those are different operating models. A single account can simplify procurement and billing, but it does not make request schemas, output formats, or job lifecycles interchangeable. My shortlist splits into four categories: a cross-provider gateway for mixed commercial models, Replicate for experimentation and custom deployments, fal.ai for media-heavy products, and Google Vertex AI for Google Cloud operations. The catalog and pricing examples below reflect the article’s September 2026 snapshot, not independently verified live quotes. Temporary pricing deserves particular attention before it goes into a cost model. Start with the integration you’ll have to maintain Before comparing providers, I’d answer five questions: Which outputs d