LiteLLM Alternatives (October 2026)

About LiteLLM and why teams compare it

LiteLLM is a Python SDK and self-hosted proxy that exposes 100+ LLMs through the OpenAI format, with router retries, fallbacks, load balancing, virtual keys, budgets and many cache backends. Its core is MIT licensed and runs in your own infrastructure, and a paid Enterprise plan adds SSO, SCIM, audit logs and support. Teams compare it with Swfte when they want to stop operating the proxy themselves, or want agents and governance on the same platform as the gateway. This page compares the two on published facts and says who should pick which.

LiteLLM sits in the Open-source LLM gateway category. In short: A single, unified interface to call 100+ LLMs. Pricing as published is Open Source: $0, self-hosted. Enterprise: talk to sales, annual (the vendor says pricing is never per token). It is best for Platform teams that want to self-host an open-source proxy and own its operation.

Swfte vs LiteLLM at a glance

LiteLLM values were checked against the vendor's own pages on October 6, 2026. Plans, prices and limits change; confirm on the vendor's page before you decide. Where a cell is blank or says "not verified", we could not confirm it from a primary source and chose not to guess.

Who should pick which

What LiteLLM does well

• Open source (MIT, except the enterprise/ directory) and self-hosted, so requests and provider keys stay in your own infrastructure
• OpenAI-format interface to 100+ LLMs with router retries, fallbacks and load balancing
• Virtual keys with budgets, rate limits and spend tracking are listed in the free self-hosted plan
• Many cache backends (Redis, semantic caches, S3, GCS, in-memory, disk) and an MCP gateway with access control by key and team

Trade-offs to weigh

• You run, scale and upgrade the proxy yourself; the paid Enterprise plan adds 24/7 support and SLAs
• SSO, SCIM, audit logs and secret-manager integration are listed under the paid Enterprise plan
• Enterprise pricing is sales-led and annual, sized to usage

When Swfte is the better choice

When you would rather not operate a proxy yourself and want a managed gateway, with agents and workflows on the same platform.

Swfte Connect is a managed gateway. It routes with automatic failover, applies semantic caching, tracks cost with budgets and alerts, and keeps audit logs. It shares a platform with Studio for agents and workflows and Nexus for agent governance.

If open source and self-hosting are hard requirements, LiteLLM is the better fit and Swfte is not a substitute. Swfte is also earlier on enterprise identity: SAML SSO and SCIM are in development.

Where Swfte fits

How to migrate from LiteLLM to Swfte

1. List your model aliases and keys

   LiteLLM proxies use a model list in your config. Write down each alias your applications call and the provider model behind it. Swfte gateway IDs are provider:model; each model page in the directory shows the gateway ID in its snippet.

2. Create a Connect key

   Sign up for the free Connect tier and create an API key. Add your own provider keys if you want to keep billing with your providers, or use pooled access.

3. Send one request

   Confirm the endpoint, key and model ID with a single call.

   codecurl https://api.swfte.com/agents/v2/gateway/chat/completions \
     -H "Authorization: Bearer $SWFTE_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "model": "openai:gpt-4o",
       "messages": [{"role": "user", "content": "Hello"}]
     }'

4. Point one service at Swfte

   Applications that already use the OpenAI SDK against your LiteLLM proxy only need a new base URL, key and model ID. The base URL below is the endpoint above without /chat/completions; use the endpoint shown in your Connect dashboard if it differs.

   codefrom openai import OpenAI
   import os
   
   client = OpenAI(
       base_url="https://api.swfte.com/agents/v2/gateway",  # was http://your-litellm-proxy:4000
       api_key=os.environ["SWFTE_API_KEY"],  # was your LiteLLM virtual key
   )
   
   reply = client.chat.completions.create(
       model="openai:gpt-4o",  # provider:model
       messages=[{"role": "user", "content": "Hello"}],
   )
   print(reply.choices[0].message.content)

5. Re-create budgets and limits

   LiteLLM virtual keys, budgets and rate limits are configured in the proxy and do not transfer. Set the equivalents in Connect, then run both in parallel for a few days and compare cost, latency and outputs on your own traffic.

6. Retire the proxy deployment

   When traffic has moved, keep the proxy as a fallback for a while, then shut it down and remove the servers, caches and keys it needed.

How LiteLLM compares to other alternatives

Other gateways to consider are OpenRouter (hosted, very wide model menu) and Portkey (gateway with guardrails and observability, open-source core). Each has its own page in the alternatives index.

For a full cross-comparison see the alternatives index and the head-to-head comparisons grouped by category.

Sources

LiteLLM facts on this page come from the vendor's own documentation and pricing pages. Swfte facts come from our pricing and product pages. See something out of date? Tell us at sales@swfte.com and we will correct it.

• LiteLLM docs
• LiteLLM pricing
• LiteLLM caching docs
• LiteLLM MCP docs
• LiteLLM on GitHub
• LiteLLM license

Frequently asked questions about LiteLLM alternatives