5 LiteLLM Alternatives for Enterprise Teams in 2026

Enterprise teams evaluating LiteLLM alternatives in 2026 are usually looking for a gateway that holds up under production scale, adds governance and security controls, and does not become a latency bottleneck. LiteLLM is a widely used proxy for unifying access to LLM providers, but teams running mission-critical workloads often need stronger performance guarantees, deeper governance, and enterprise deployment options. Bifrost, the open-source AI gateway built in Go by Maxim AI, leads this list as the best overall LiteLLM alternative for enterprise teams. This post compares five options across performance, governance, and deployment so you can match a gateway to your requirements.

Key criteria for evaluating LiteLLM alternatives

The right AI gateway depends on the demands of your workload. When comparing LiteLLM alternatives for enterprise use, evaluate each option against these criteria:

• Performance overhead: How much latency the gateway adds per request under sustained load.
• Provider coverage: How many LLM providers and models are reachable through a single API.
• Governance: Support for virtual keys, budgets, rate limits, and access control.
• Security and compliance: Guardrails, audit logs, RBAC, and support for regulated deployments.
• Deployment flexibility: Self-hosting, VPC isolation, air-gapped, and on-prem options.
• Migration effort: How much code must change to adopt the gateway.

For a deeper capability breakdown, the LiteLLM alternatives comparison maps these criteria across gateway options.

1. Bifrost

Bifrost is the best overall LiteLLM alternative for enterprise teams. It is a high-performance, open-source AI gateway that unifies access to 1000+ models through a single OpenAI-compatible API, and it is engineered for the scale and reliability that production AI workloads require. Bifrost adds only 11 microseconds of overhead per request at 5,000 requests per second in sustained benchmarks, so it stays out of the critical path even at high throughput.

Bifrost consolidates the capabilities enterprise teams typically assemble from multiple tools:

• Unified access: A single OpenAI-compatible API reaches 1000+ models across providers, and Bifrost works as a drop-in replacement that requires changing only the base URL.
• Reliability: Automatic failover and load balancing route around provider outages with zero downtime.
• Governance: Virtual keys enforce budgets, rate limits, and access control per team, project, or customer.
• MCP gateway: Bifrost runs as an MCP gateway to centralize tool connections, authentication, and governance for agentic workloads.
• Cost control: Semantic caching reduces cost and latency for semantically similar queries.
• Enterprise deployment: Bifrost Enterprise supports clustering, RBAC, audit logs, VPC isolation, and air-gapped infrastructure.

Teams migrating from LiteLLM can adopt Bifrost as a drop-in LiteLLM alternative, and Bifrost also maintains LiteLLM SDK compatibility to ease the transition.

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. Kong AI Gateway

Kong AI Gateway extends the Kong API gateway with AI-specific plugins for routing and rate limiting across LLM providers. Teams already standardized on Kong for API management may find it a natural extension for basic LLM traffic.

• Strengths: Mature API gateway foundation, plugin ecosystem, and existing adoption in API-heavy organizations.
• Considerations: LLM-specific features are layered on top of a general-purpose API gateway rather than built for inference routing, and MCP governance and semantic caching are not native to the same degree.

Best for: Organizations already running Kong for API management that want to add basic LLM routing within the same platform.

3. Cloudflare AI Gateway

Cloudflare AI Gateway provides a hosted proxy layer that sits in front of provider APIs, adding caching, rate limiting, and analytics. It is a managed offering tied to the Cloudflare platform.

• Strengths: Managed infrastructure, request analytics, and caching for teams already using Cloudflare.
• Considerations: As a hosted service, it offers less control over data residency and deployment topology than a self-hostable gateway, which can be a constraint for regulated workloads that require VPC isolation or air-gapped operation.

Best for: Teams on the Cloudflare platform that want managed caching and analytics in front of LLM APIs without self-hosting.

4. OpenRouter

OpenRouter aggregates many models behind a single API, making it straightforward to reach a broad set of providers through one integration. It is primarily an aggregation and routing service.

• Strengths: Wide model selection through one endpoint and simple onboarding for experimentation.
• Considerations: As a hosted aggregator, it centers on model access rather than enterprise governance, and teams needing self-hosted deployment, granular access control, and audit logging typically need a dedicated gateway.

Best for: Developers and teams that want quick access to many models through a single API for prototyping and lighter production use.

5. Apache APISIX

Apache APISIX is an open-source API gateway that can be configured with plugins to proxy LLM traffic. It is a general-purpose gateway adopted for its performance and open governance model.

• Strengths: Open source, high throughput as an API gateway, and a flexible plugin model.
• Considerations: LLM routing, MCP governance, semantic caching, and virtual-key budgeting are not purpose-built, so teams assemble and maintain these capabilities themselves rather than getting them as first-class gateway features.

Best for: Platform teams that want an open-source, general-purpose API gateway and are willing to build LLM-specific governance on top of it.

How the LiteLLM alternatives compare

The table below summarizes where each gateway fits for enterprise AI workloads.

Bifrost is the only option here that combines native LLM governance, a built-in MCP gateway, and enterprise deployment in a single open-source platform. The other tools each cover part of the picture, but they require teams to assemble governance, cost control, and MCP support from separate components and maintain that stack over time. For teams standardizing governance, the governance resource page details virtual keys, budgets, and access control in depth, and observability is built in through native Prometheus metrics and OpenTelemetry tracing.

Choosing the right LiteLLM alternative

The best LiteLLM alternative depends on your scale and requirements. Teams running mission-critical AI workloads that need best-in-class performance, deep governance, and regulated deployment options should evaluate Bifrost first, since it delivers those capabilities natively rather than through add-ons. To see how Bifrost compares to your current setup and how migration from LiteLLM works in practice, book a demo with the Bifrost team.