Inference Labs › Alternatives › vs LiteLLM
Inference Labs vs LiteLLM
Honest, dated comparison of Inference Labs and LiteLLM -- router architecture, eval pipeline, pricing, public utilities, and when to pick each. Updated 2026-05-28.
LiteLLM
Open-source SDK + optional self-hosted proxy that translates 100+ LLM provider APIs into a single OpenAI-compatible call shape.
Strengths
- Massive provider coverage (>100) and OpenAI-compatible call surface developers already know.
- Open source (MIT) and self-hostable; you own the data path end-to-end.
- Large, active community + frequent provider additions.
- Strong built-in observability hooks (Langfuse, Helicone, etc.).
Inference Labs
Vendor-neutral multimodal router + cache + eval pipeline. BYO provider keys, per-workspace policy router, JSONL eval/SFT exports, MCP server for Claude Desktop.
Where Inference Labs differs
- Inference Labs is a managed product, not a library: the router, cache, eval pipeline, and dashboard come hosted (or self-hostable if needed).
- Built-in evaluation packs that run prompts across multiple models and score with a configurable judge, with results stored alongside traces.
- Atomic per-workspace credit accounting + budget caps + Stripe billing wired in -- not a separate concern you need to wire yourself.
- Multi-workspace tenant isolation with per-workspace model allowlists, retention policies, and PII redaction defaults.
Feature-by-feature
| Capability | LiteLLM | Inference Labs |
|---|---|---|
| Library vs hosted product | Library + optional proxy | Hosted (or self-hostable) |
| OpenAI-compatible call shape | Yes | Direct + via SDK |
| BYO provider keys | Yes | Yes |
| Built-in dashboard + billing | Partial (UI in enterprise) | Yes |
| Per-request policy router | Yes (via config) | Yes |
| Production-trace -> JSONL evals | Via hooks | Built-in |
| Atomic credit accounting + Stripe | No | Yes |
| MCP server for Claude Desktop/Cursor | No | Yes |
Which one should you pick?
Pick LiteLLM if…
you want a library you embed in your own service, you self-host, and you wire your own billing, dashboard, and trace storage.
Pick Inference Labs if…
you want the hosted layer (router + cache + traces + evals + dashboard + billing) without engineering it from primitives, but still with vendor-neutral BYO-provider-key semantics.
Many teams adopt both: LiteLLM for one workload (or its specific strength) and Inference Labs for the routing + evaluation layer. The platforms are not mutually exclusive.
Try Inference Labs free. 500 credits, no card required, takes 30 seconds to send your first routed request. Create an account → or read the 5-min quickstart.
Frequently asked
Is this comparison biased toward Inference Labs?
We try to be honest. We name LiteLLM's real strengths up front, then describe where Inference Labs is genuinely different -- not better at everything. If you spot something factually wrong, email [email protected] and we will update the page.
Can I use both?
Yes. Inference Labs is BYO-provider-key and never requires you to drop another tool. Many users wire LiteLLM for one surface (e.g. observability) and Inference Labs for the routing + eval pipeline.
Where can I see live pricing?
Our public dataset is at /api/prices.json (CC BY 4.0) and the human view is at /benchmarks.html. To estimate your spend, use the cost calculator.