Vercel has added a unified fast mode abstraction to AI Gateway, giving developers one way to request lower-latency or higher-throughput model serving across supported providers.

The feature is in beta and works through the gateway.speed provider option. Developers can set speed to fast on a base model, and AI Gateway will route to the model's fast serving path when one is available. If the model has no fast tier, Vercel says the request continues at standard speed rather than failing.

Vercel also supports explicit fast model slugs, such as anthropic/claude-opus-5-fast, for teams that want to name the faster variant directly in a model list. The company says fast variants usually cost more per token, so the practical tradeoff is speed versus inference cost.

The change is narrow, but useful for production AI applications. Teams building agents, coding tools, or user-facing AI features often need to tune latency without rewriting provider-specific routing logic. A single fast-mode option lets those teams test faster paths while keeping the base model ID and fallback behavior intact.

It also fits Vercel's broader positioning for AI Gateway. The service already gives developers one API key and one routing layer for models across providers, with usage monitoring, retries, and spend controls. Fast mode adds another operational knob to that gateway layer, focused on response time rather than model choice alone.