Best AI gateway

What should decide the best AI gateway for a production workload?

The deciding factor should be who owns each operating responsibility after the first successful request. NIST AI 600-1 calls for approved-provider inventories, use-case supplier risk assessments, ongoing monitoring, contract evaluation rights, and documented fallbacks for third-party generative-AI systems.

Source: NIST AI 600-1, Generative AI Profile · published July 2024; rechecked 2026-08-12

Our selection rule uses five records: exact model and provider, credential boundary, route behavior, capacity owner, and contractual remedy. A feature earns weight only when an owner can show where it is configured, how failure is exposed, and which event forces a new review.

Operator judgment based on NIST actions GV-6.1 and GV-6.2 · rechecked 2026-08-12

Which routing defaults should a buyer test before choosing?

A buyer should test provider selection, fallback, data-policy filtering, and the no-valid-route failure before choosing. OpenRouter documents that fallbacks default to enabled and that its data-collection filter defaults to allowing providers that may store data; zero-retention routing requires the separate zdr option.

Source: OpenRouter provider-routing documentation · rechecked 2026-08-12

Vercel documents a different governance boundary: its team-wide provider allowlist can be changed only by team owners, applies to every request, and leaves newly added providers disabled until an owner enables them. If all candidates are filtered out, the request returns 403.

Source: Vercel AI Gateway provider-allowlist documentation · rechecked 2026-08-12

The operator lesson is concrete: write the expected provider into a test assertion. A route that returns a valid answer from an unapproved provider has passed an API check and failed the procurement check.

Operator judgment from the two documented routing behaviors above · verified 2026-08-12

How should capacity and service terms affect the decision?

Capacity and service terms should identify an owner and a remedy before production traffic moves. NIST AI 600-1 calls for contracts that specify quality and security expectations, supplier monitoring, clauses permitting evaluation of third-party processes, and service levels that address incident response and critical support.

Source: NIST AI 600-1, Generative AI Profile · published July 2024; rechecked 2026-08-12

Amazon Bedrock documents provisioned throughput alongside automatic, human, and model-as-judge evaluation workflows. That combination is relevant when a buyer wants capacity and evaluation inside the same AWS operating boundary; it does not establish that every required model is present in every region.

Source: Amazon Bedrock user guide · rechecked 2026-08-12

SteadyGateway fits the narrower case where a buyer wants leading AI models on official provider APIs, written production scope, and a 99.9% availability commitment with tiered service credits. Choose another candidate when you need hundreds of models, owner-controlled provider keys, request-level route optimization, or an AWS-native service boundary.

SteadyGateway offer boundary · verified 2026-08-12; competitor capabilities sourced in the candidate table

Before choosing, walk the AI model vendor due diligence checklist, check exact model and provider status in the freshness ledger, and read the benchmark method. Reopen the decision when the model ID, provider, region, routing default, capacity owner, or remedy changes.