LiteLLM vs Token Harbor

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan: Both have one
Public API: Both have one
Higher Trust score: LiteLLM — 87 vs 78 for Token Harbor
Best fit: LiteLLM: Platform teams giving many internal developers governed access to several LLM vendors · Token Harbor: Developers wiring coding agents (Claude Code, Cursor, Codex) to multiple models through one key
Platforms: LiteLLM: Linux · Token Harbor: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

LiteLLMOpen-source gateway and Python SDK that put 100+ LLM providers behind one OpenAI-style API, with keys, budgets and spend tracking.

Token HarborOne OpenAI-compatible API that routes requests across GPT, Claude, Gemini, and other models.

Side by side

Fact	LiteLLM	Token Harbor
Category	AI Gateways & Routing	AI Gateways & Routing
Pricing model	Freemium	Freemium
Starts at	—	$0.99/mo
Public API	Yes	Yes
Trust score	87 / 100	78 / 100
Platforms	Linux, API	Web, API
Company	Berri AI (LiteLLM)	Token Harbor Pte. Ltd.
Launched	2023	—
Last verified	Oct 2, 2026	Sep 1, 2026

What our research says

LiteLLM

LiteLLM is the default pick for a platform team that wants one OpenAI-compatible door to many model vendors, with per-team budgets and keys, without paying a hosted router a margin. The SDK is just as useful to a single developer who wants to swap providers with a one-line change. Running the gateway reliably, including its database and scaling, is your job, and the governance features that large companies ask for sit behind the Enterprise licence.

Pros

One OpenAI-style interface to 100+ providers, in an SDK and a self-hosted proxy
Virtual keys, spend tracking by key, user and team, budgets and rate limits in the free gateway
Retry and fallback routing across deployments, plus MCP and agent gateways
Self-hosted, so traffic and keys stay in your own environment

Cons

You run and scale the proxy yourself, including its database and upgrades
SSO, SCIM, audit logs and SLAs require the Enterprise licence, priced only by quote
The unified format can lag behind provider-specific features on new models

Token Harbor

Token Harbor's pitch is model-routing convenience: point your agent at one API key and get access to a tiered set of models without juggling separate provider accounts. Launch pricing is unusually cheap for the entry passes, but that also means the regular (non-launch) prices — up to 3x higher — are what a longer-term budget should assume.

Pros

Single OpenAI-compatible endpoint covers models from several major providers
Free tier requires no card and includes real (if rotating) model access
One-command setup is documented for common coding-agent tools

Cons

Current Pass prices are explicitly launch discounts — regular prices run up to 3x higher
Free tier's rotating models mean you don't control exactly which model answers a given request

Which one fits

Choose LiteLLM if you need

Platform teams giving many internal developers governed access to several LLM vendors
Developers who want to switch or fall back between model providers without rewriting code
Organisations that must keep prompts and keys inside their own infrastructure

Choose Token Harbor if you need

Developers wiring coding agents (Claude Code, Cursor, Codex) to multiple models through one key
Anyone wanting to try several providers' models without separate accounts for each