AI Gateway

Top Multi-Provider AI Gateways for OpenAI, Anthropic, Bedrock

Compare the top multi-provider AI gateways for routing across OpenAI, Anthropic, and AWS Bedrock on performance, failover, governance, and self-hosting.

Production AI applications increasingly route requests across OpenAI, Anthropic, and AWS Bedrock to balance cost, latency, and model capability, but calling each provider directly means maintaining three SDKs, three authentication schemes, and three separate failure paths. A multi-provider AI gateway solves this by exposing one OpenAI-compatible endpoint that handles routing, failover, and governance across every connected provider. Bifrost, the open-source AI gateway built in Go by Maxim AI is the best overall choice for enterprise teams running multi-provider workloads that demand low latency, reliability, and full control over data. This guide compares the top multi-provider AI gateways for routing across OpenAI, Anthropic, and Bedrock on performance, failover, governance, and deployment flexibility.

What Is a Multi-Provider AI Gateway?

A multi-provider AI gateway is a unified API layer that sits between an application and several large language model providers, routing, authenticating, and observing traffic to all of them through a single endpoint. Instead of integrating separately with OpenAI, Anthropic, and AWS Bedrock, a team integrates once with the gateway, which handles protocol translation, credential management, failover, and cost tracking.

Bifrost is one example: it unifies access to 1,000+ models across 23+ providers behind a single OpenAI-compatible API. The same pattern applies to every gateway in this guide. Each one presents one interface, so application code targets a stable endpoint while the gateway manages the differences between providers underneath. This matters because each provider publishes its own rate limits, authentication scheme, and request format, and supporting AWS Bedrock alongside them multiplies that integration work with every provider added to the stack.

How to Evaluate a Multi-Provider AI Gateway

The right multi-provider AI gateway depends on scale, provider mix, and operational requirements. These are the criteria that matter most when routing across OpenAI, Anthropic, and Bedrock in production:

  • Performance overhead: how much latency the gateway adds per request under sustained load. Lower overhead matters most at high request volumes. Bifrost publishes benchmarks showing 11 microseconds of overhead per request at 5,000 requests per second.
  • Provider coverage: native support for OpenAI, Anthropic, and AWS Bedrock, plus the providers a team plans to adopt later.
  • Automatic failover and load balancing: the ability to route around provider outages and rate-limit rejections without application changes.
  • Governance: per-team and per-project budgets, rate limits, access control, and audit trails.
  • Deployment flexibility: managed service, self-hosted, in-VPC, or air-gapped options. Regulated industries often require deployment inside their own infrastructure, which the Bifrost Enterprise tier supports.
  • MCP and agent support: native Model Context Protocol handling for agentic workloads that call external tools. MCP code mode reduces token usage by 50%+ when using multiple MCP servers.
  • Observability: request logging, metrics, and distributed tracing across all providers.

The LLM Gateway Buyer's Guide provides a detailed capability matrix for teams comparing options against these criteria.

The Top Multi-Provider AI Gateways for OpenAI, Anthropic, and Bedrock

The five gateways below cover the most common production scenarios, from open-source self-hosting to managed edge routing. Bifrost leads on performance, governance, and deployment control for enterprise workloads.

1. Bifrost

Bifrost is a high-performance, open-source AI gateway built in Go by Maxim AI. It routes across OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, Azure OpenAI, and more through a single OpenAI-compatible endpoint, and adds only 11 microseconds of overhead per request at 5,000 requests per second. Its Go-based architecture keeps per-request overhead far lower than Python-based proxies under the same load.

Key capabilities:

  • Unified access to 1,000+ models with a drop-in replacement model: switch the base URL in an existing OpenAI, Anthropic, or Bedrock SDK and the rest of the code keeps working.
  • Automatic failover through configurable fallback chains that route around provider errors and rate limits with zero downtime.
  • Weighted load balancing across multiple API keys and providers to maximize throughput.
  • Semantic caching that reduces cost and latency by serving semantically similar queries from cache.
  • Governance built on virtual keys, with per-consumer budgets, rate limits, and access control.
  • Native MCP support, where Bifrost acts as an MCP gateway for agentic tool execution across connected servers.
  • Enterprise deployment including in-VPC, air-gapped, and on-prem options, plus clustering, RBAC, and vault support.

Best for: Bifrost is built for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. It serves as a centralized AI gateway to route, govern, and secure all AI traffic across models and environments with ultra low latency. Bifrost unifies LLM gateway, MCP gateway, and Agents gateway capabilities into a single platform. Designed for regulated industries and strict enterprise requirements, it supports air-gapped deployments, VPC isolation, and on-prem infrastructure. It provides full control over data, access, and execution, along with robust security, policy enforcement, and governance capabilities.

2. LiteLLM

LiteLLM is an open-source Python library and proxy server that exposes a single OpenAI-compatible interface for 100+ providers, including OpenAI, Anthropic, and AWS Bedrock. The proxy adds virtual keys, spend tracking, load balancing, and retry logic, and runs anywhere a container can run.

Because LiteLLM is Python-based, teams running it at high request volumes typically self-manage scaling and accept higher per-request overhead than a compiled gateway. Teams migrating off it can review Bifrost as a drop-in LiteLLM alternative with a full feature comparison.

Best for: Teams that want an open-source, Python-native proxy and are comfortable self-managing infrastructure and scaling for moderate request volumes.

3. Cloudflare AI Gateway

Cloudflare AI Gateway is a hosted service that relays requests to upstream providers through an OpenAI-compatible unified endpoint and provider-native routes for OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google, and others. Configuration is a one-line base URL change on the application side.

The gateway adds caching, rate limiting, request retries with model fallback, analytics, and optional unified billing across providers. Its control surface covers prompts and completions that traverse the LLM API; traffic outside that path is not inspected.

Best for: Teams already building on Cloudflare Workers that want managed AI traffic control, caching, and observability close to their existing edge infrastructure.

4. Kong AI Gateway

Kong AI Gateway extends Kong's API management platform with AI-specific plugins (AI Proxy and AI Proxy Advanced) that provide a unified interface to OpenAI, Anthropic, AWS and Azure hosted models, Google, and others. It runs as a plugin layer on Kong's Nginx-based core rather than a purpose-built LLM runtime.

It supports routing, load balancing, semantic caching, prompt guards, governance, and telemetry, with management through Kong Konnect. This appeals to organizations that already standardize on Kong across their broader API estate.

Best for: Teams that already run Kong for API management and want to extend existing infrastructure to LLM traffic without adopting a separate tool.

5. OpenRouter

OpenRouter is a managed routing service that provides a single OpenAI-compatible API endpoint for accessing 400+ models from OpenAI, Anthropic, Google, Meta, Mistral, and open-source providers. It handles billing aggregation, model availability tracking, automatic model fallback, and pay-as-you-go pricing with no monthly minimums.

OpenRouter is a hosted marketplace rather than a self-hosted gateway, so it does not offer in-VPC or air-gapped deployment.

Best for: Individual developers and smaller teams that want instant access to a wide range of models through one API without managing separate provider accounts.

How Bifrost Routes Across OpenAI, Anthropic, and Bedrock

Bifrost positions itself between the application layer and the providers, surfacing one OpenAI-compatible endpoint. Application code calls Bifrost, and Bifrost performs protocol translation, authentication, and routing into the upstream provider. Selecting a provider and model is a single field in the request:

curl -X POST <http://localhost:8080/v1/chat/completions> \\
  -H "Content-Type: application/json" \\
  -d '{
    "model": "anthropic/claude-sonnet-4-5",
    "messages": [{"role": "user", "content": "Hello, Bifrost!"}]
  }'

Switching to openai/gpt-4o or a Bedrock-hosted model is a change to the model prefix, with no other code changes required. This is the drop-in replacement model: point an existing OpenAI, Anthropic, or Bedrock SDK at the Bifrost base URL and existing application code continues to work.

Routing logic in the Bifrost AI gateway operates across coordinated layers:

  • Failover chains retry a failed request against a secondary provider automatically, so a Bedrock rate-limit rejection can fall back to the native Anthropic API without interrupting the caller.
  • Load balancing distributes requests across multiple keys and providers using weighted strategies.
  • Provider routing directs requests to specific models, providers, or keys based on configurable routing rules.

For regulated workloads, this entire path can run inside a team's own infrastructure through in-VPC deployment, keeping prompts, completions, and credentials within the network boundary. Teams comparing this against managed alternatives can use the Bifrost buyer's guide to map requirements to capabilities.

Frequently Asked Questions

Can one AI gateway route to OpenAI, Anthropic, and Bedrock at once?

Yes. A multi-provider AI gateway exposes a single OpenAI-compatible endpoint and routes each request to OpenAI, Anthropic, or AWS Bedrock based on the requested model and configured routing rules. Bifrost handles all three behind one API, including automatic failover between them.

What is the difference between an AI gateway and an LLM proxy?

The terms are used interchangeably. Both describe a layer between an application and one or more model providers that standardizes requests and responses. An AI gateway typically adds governance, observability, and failover on top of basic proxying.

Do multi-provider AI gateways add latency?

Every gateway adds some overhead, but the amount varies widely by architecture. Bifrost, built in Go, adds 11 microseconds of overhead per request at 5,000 requests per second in sustained benchmarks, which is negligible relative to model inference time.

Can a multi-provider AI gateway be self-hosted?

Some can. Open-source gateways like Bifrost and LiteLLM can be self-hosted, and Bifrost additionally supports in-VPC and air-gapped deployment for regulated industries. Managed services like Cloudflare AI Gateway and OpenRouter run in the vendor's infrastructure.

Choosing a Multi-Provider AI Gateway for Production

Selecting a multi-provider AI gateway comes down to matching deployment model, performance, and governance to the scale of the workload. Managed marketplaces suit fast experimentation, plugin layers suit teams already standardized on an API platform, and a purpose-built, open-source gateway suits production AI that must stay fast, observable, and under the team's own control. For enterprise teams routing across OpenAI, Anthropic, and Bedrock, the Bifrost platform combines the lowest measured overhead with full governance and self-hosting, and the Bifrost resources hub covers each capability in depth.

To see how Bifrost can simplify routing across OpenAI, Anthropic, and Bedrock in your stack, book a demo with the Bifrost team.

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