LiteLLM Alternatives: Which LLM Gateway Fits Your Needs?

Updated 5 November 2026 · Standard formula, shown below

The best LiteLLM alternative depends on what you need from an LLM gateway: choose a managed platform for a fast hosted setup, or a self-hosted gateway when control, deployment flexibility, or policy customization matters most. For many teams, the practical shortlist starts with Portkey, Helicone, Kong AI Gateway, and cloud-provider gateways—but compare current features and deployment requirements before migrating.

What LiteLLM does—and why teams look elsewhere

LiteLLM is an open-source project that provides a common interface for calling models from multiple providers. Its proxy can sit between applications and model APIs, handling requests through a shared endpoint and offering capabilities such as provider routing, logging, and access controls, depending on configuration and version. That can reduce the amount of provider-specific code an application needs.

“Alternative” can mean several different things. A team might want a hosted service instead of operating infrastructure, an API gateway integrated with existing networking tools, stronger observability, or a narrower tool focused on routing and spend visibility. A different gateway does not automatically offer feature parity with LiteLLM, nor does a similar-looking interface guarantee identical provider behavior.

Start by identifying the job the gateway must do. If it only needs to forward requests to one provider, a gateway may add unnecessary complexity. If it must route across providers, enforce organizational policies, or centralize credentials for multiple applications, a dedicated gateway can be useful.

Alternatives by gateway need

Portkey: Consider it when you want an LLM-focused gateway with a managed offering and features oriented around routing, request controls, and observability. Confirm which capabilities are available in the particular plan and deployment option you intend to use.
Helicone: Consider it when request logging and observability are central to the problem. Its gateway-related capabilities can help teams inspect model calls, but verify that its current routing, policy, and self-hosting options fit your requirements.
Kong AI Gateway: Consider it when an organization already uses Kong or wants AI traffic handled within a broader API-gateway environment. This can suit platform teams that value integration with existing gateway operations; check the AI-specific features and setup needed for your deployment.
Cloud-provider gateways: Consider a provider’s own gateway when your workloads already live in that cloud and you primarily need to manage access to its model services. These products may be less suitable if you need a neutral layer spanning several clouds or providers.
Direct provider APIs: Consider calling providers directly when the application uses few models and needs little centralized policy. This avoids operating another layer, but leaves your application responsible for provider selection, credentials, retries, and any shared logging or controls.

These categories are not interchangeable. A managed observability product, an API gateway, and a compatibility proxy may overlap, but they address different operational concerns.

How to choose a replacement

Write down the requirements before comparing product pages. Separate essential controls from features that would merely be convenient, and test the actual request paths your application uses.

List providers and models. Include the models you use now and those you may add. Check whether the gateway supports the required endpoints, request formats, streaming behavior, and provider-specific options.
Decide where it runs. Compare hosted, self-hosted, and hybrid choices. For self-hosting, account for upgrades, availability, network access, and secrets management—not just the initial installation.
Specify policy needs. Identify requirements such as authentication, per-team access, model allowlists, routing rules, or request limits. Confirm exactly where each policy is enforced and how it behaves during failures.
Check observability and data handling. Find out what request and response data is recorded, how sensitive fields can be handled, who can view logs, and what retention controls exist. A gateway may see prompts and outputs in transit, so this deserves deliberate review.
Test operational behavior. Exercise timeouts, provider errors, rate limits, streaming, and fallback routes. Confirm that retries do not accidentally duplicate costly or state-changing requests.
Estimate total effort. Include subscription or infrastructure costs where applicable, engineering time, monitoring, support, and the work required to maintain compatibility as providers change.

Migration and common problems

Changing a gateway is not always a matter of replacing a base URL. Applications may depend on LiteLLM-specific configuration, response normalization, routing rules, or error handling. Before switching, compare request and response formats for every model path, especially if the application uses tool calls, structured outputs, image inputs, or streaming.

Run a small migration test with representative traffic. Compare successful responses, latency, error behavior, and logs. Keep a rollback route available while validating the replacement, and avoid sending sensitive production prompts into a test environment unless its data handling has been approved.

Common surprises include provider-specific parameters being dropped or rejected, different treatment of rate limits, and logs containing more content than expected. Another misconception is that a gateway automatically lowers model costs. It may help route requests or expose usage, but savings depend on actual model choices, traffic patterns, and configuration; the gateway itself can also carry operating or subscription costs.

Costs, security, and operational fit

Compare cost models on equivalent workloads. A hosted service may charge by subscription, usage, or feature tier; a self-hosted option can avoid a gateway subscription while still requiring compute, engineering, and ongoing operations. Provider model charges remain separate unless the service explicitly bundles them. Check current terms rather than relying on an old comparison.

Security review should cover the gateway’s position in the request path. Determine whether credentials are stored or forwarded, how access is authenticated, whether transport is encrypted, and what data may appear in logs. For a self-hosted deployment, also decide who patches and monitors it. For a managed service, assess the vendor’s documented data practices and available controls against your organization’s requirements.

Operational fit is often the deciding factor. A platform team with established API-gateway processes may prefer an integrated gateway. A small team that does not want to run infrastructure may favor a hosted service. A team that only needs simple calls to one provider may be better served by direct APIs.

Frequently Asked Questions

What is the best alternative to LiteLLM?
The best choice depends on the requirement. Portkey may suit teams seeking an LLM-focused hosted gateway, Helicone may suit observability-led workflows, Kong AI Gateway may fit organizations already operating Kong, and direct APIs may be simplest for limited needs.

Is LiteLLM an API gateway?
LiteLLM’s proxy provides gateway-like behavior for model requests, including a shared interface and routing-related functions. The exact capabilities depend on the version and configuration; it is not necessarily a replacement for every general-purpose API gateway.

Can I use an LLM gateway with multiple providers?
Many gateways are designed to route requests across providers, but support varies by model, endpoint, and feature. Verify the specific APIs and behaviors your application needs rather than assuming every provider integration is equivalent.

Does switching gateways reduce LLM costs?
Not by itself. Routing to a less expensive model or improving usage visibility may help a team manage spending, but results depend on workload and choices. Gateway fees and operating costs should be included in the comparison.

Should I self-host an LLM gateway?
Self-hosting can offer deployment control, but it also makes your team responsible for availability, upgrades, monitoring, and configuration. Choose it when those responsibilities fit your operating model, not simply because the software is open source.

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