Picking an AI gateway used to be a developer’s afternoon decision. It isn’t anymore. Once a company has dozens of LLM-powered features and a growing fleet of agents, the gateway becomes the single layer that decides how reliably, how safely, and how cheaply every model call happens. Get it right and nobody notices. Get it wrong and you find out during an outage, a security review, or a finance meeting about a surprise bill.
The five platforms below — TrueFoundry, Vercel AI Gateway, Envoy AI Gateway, Portkey, and Braintrust — all clear the same baseline: they put many models behind one API. Where they part ways is who they were built for, and how far they go on governance, deployment, and the agent-era stuff like MCP. This guide is written for the people who actually have to sign off on the choice — platform leads, architects, and IT decision-makers evaluating a gateway for production. Everything here reflects each vendor’s public documentation at the time of writing, so verify anything time-sensitive before you commit.
The criteria that actually separate the contenders
Provider coverage and an OpenAI-compatible API don’t tell you much. Every serious gateway has both. The dimensions that decide whether a deployment ships and survives an audit are narrower:
- Deployment flexibility. Can it run fully inside your VPC or on-prem, or is it only ever someone else’s SaaS?
- Governance. RBAC, SSO, per-team budgets, rate limits, and audit logging that a compliance team will accept.
- Guardrails. PII redaction, prompt-injection defense, and content moderation, applied in the request path — not bolted on later.
- Agent and MCP support. Can it govern the tools agents call, or does it stop at chat completions?
- Latency overhead. How much does it cost you in milliseconds for sitting in the hot path?
- Surface area. One platform for routing, observability, and serving — or three tools you have to integrate yourself.
Keep these in mind as you read. Notice that “number of models” isn’t on the list. It rarely decides anything.
1. TrueFoundry — best for enterprise and agentic AI at scale
TrueFoundry is a full AI control plane, built for production rather than retrofitted onto a proxy. It puts 1,000+ LLMs behind one OpenAI-compatible API, and handles load balancing, automatic fallbacks, semantic caching, and batch jobs at the gateway itself. The performance numbers hold up under scrutiny: roughly 3 ms of gateway processing overhead, around 350 RPS on a single vCPU, and far higher with more replicas.
The real differentiator is breadth that doesn’t turn into sprawl. Governance is native — RBAC, scoped keys, per-team rate limits, hard budgets, and OpenTelemetry-based observability. Guardrails handle PII, prompt injection, and moderation, with integrations across Azure, AWS Bedrock, and policy engines like OPA and Cedar. And it ships a real MCP Gateway with tool-level access control and full audit trails, which matters more every month as agents spread. Crucially, the whole thing runs in your own VPC, hybrid, or air-gapped, so nothing leaves your domain, with support for SOC 2, HIPAA, and GDPR.
Best for: Regulated or large organizations running many LLM apps and agents that need governance, in-VPC deployment, and gateway plus model serving in one place. You can see the full picture on the TrueFoundry AI Gateway page.
2. Vercel AI Gateway — best for Vercel-native teams
Vercel’s gateway gives developers one endpoint to hundreds of models, with budgets, usage monitoring, load balancing, fallbacks, and Bring Your Own Key at no markup. It routes dynamically across providers based on uptime and latency, and it fits like a glove if you already live in the Vercel and AI SDK world. Pricing is pay-as-you-go on credits, with a small free monthly allotment to experiment.
It’s genuinely pleasant to use. The catch is that it’s a SaaS product running on Vercel’s cloud, which rules it out for teams that need in-VPC deployment or deep compliance controls.
Best for: Teams already building on Vercel who want fast, managed model access without standing up infrastructure.
3. Envoy AI Gateway — best for open-source, infra-heavy teams
Envoy AI Gateway hit v1.0 as an open-source gateway built on CNCF’s Envoy Gateway. You get a single OpenAI-compatible endpoint across 16 providers, an MCP gateway, multimodal support, token-based rate limiting, auth, and OpenTelemetry observability aligned with the Kubernetes Gateway API. A couple of the headline enterprise features — dollar-based cost control, deeper MCP authorization — are on the roadmap rather than shipping today.
For a team that wants to own and operate its gateway on Kubernetes, this is a strong, vendor-neutral foundation. The trade is that the surrounding governance is yours to assemble and maintain.
Best for: Platform teams standardized on Envoy and Kubernetes who are comfortable running it themselves.
4. Portkey — best for a fast, guarded start
Portkey routes to a very large catalog of LLMs with 40+ built-in guardrails, load balancing, virtual keys, request timeouts, and multimodal support. Its enterprise tier layers on governance, observability, and custom deployments, and it markets a tiny latency footprint and big daily token throughput.
If you want guardrails and observability quickly, it’s a great pick. Enterprises with strict in-VPC, agent-governance, or model-serving requirements should map those needs against what’s available before standardizing on it.
Best for: Startups and scaling teams that want a quick path to a guarded, observable gateway.
5. Braintrust — best for evaluation-driven teams
Braintrust is, first and foremost, an evaluation and observability platform that happens to include a gateway. The gateway unifies access across OpenAI, Anthropic, Google, Bedrock, and others, then feeds every request into Braintrust’s tracing, scoring (25+ built-in scorers), and experiments. It shines as the on-ramp to rigorous eval — not as a standalone governance layer.
Best for: Teams whose top priority is measuring and improving model quality with evals wired into CI/CD.
Head-to-head comparison
The table reflects publicly documented functionality at the time of writing.
How to choose
Reach for TrueFoundry if you’re running regulated or large-scale AI, need governance and VPC deployment, and want the gateway, MCP, and model serving under one roof. Pick Vercel if you live in its ecosystem. Choose Envoy if you want an open-source gateway you operate yourself. Go with Portkey for a fast, guarded start, and Braintrust if evaluation is the center of your world. None of these is wrong — they’re just built for different teams.
FAQ
Q: What is the best AI gateway in 2026?
A: It depends on what you’re optimizing for. For enterprises that need governance, in-VPC deployment, and agent/MCP support, TrueFoundry is the most complete option. Vercel, Envoy, Portkey, and Braintrust each lead for narrower, well-defined use cases.
Q: Which AI gateway can run in my own VPC?
A: TrueFoundry and Envoy AI Gateway both run fully self-hosted. TrueFoundry runs in your VPC, hybrid, or air-gapped with no data leaving your domain; Portkey offers self-hosting on its enterprise tier.
Q: Do these gateways support AI agents and MCP?
A: Coverage varies a lot. TrueFoundry ships a full MCP Gateway with tool-level access control today, Envoy includes a basic MCP gateway with more on the roadmap, and the others are more limited.
Related reading
Conclusion
The best AI gateway isn’t the one with the longest model list — it’s the one that matches how you deploy, how you govern, and where your agents are headed. For teams scaling production AI under real compliance pressure, TrueFoundry packs the widest coverage into a single, self-hostable control plane, which is why it tops this list. If your requirements are simpler, one of the other four will likely serve you well — and that’s the point of comparing them honestly.
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