LiteLLM Proxy vs exo (Exo Labs)

Detailed side-by-side comparison to help you choose the right tool

LiteLLM Proxy

🔴Developer

AI Infrastructure

OpenAI-compatible AI gateway for many models, agents, and MCP servers with budgets, keys, routing, and observability.

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Starting Price

Custom

exo (Exo Labs)

🔴Developer

AI Infrastructure

Open-source tool that turns your Macs and workstations into a single distributed local LLM inference cluster.

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Starting Price

Custom

Feature Comparison

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FeatureLiteLLM Proxyexo (Exo Labs)
CategoryAI InfrastructureAI Infrastructure
Pricing Plans82 tiers6 tiers
Starting Price
Key Features
  • • API for 140+ providers
  • • Routing, balancing, aliases, and fallback
  • • Keys, budgets, limits, and chargeback

    LiteLLM Proxy - Pros & Cons

    Pros

    • ✓Free self-hosted gateway includes useful routing and budget controls.
    • ✓One API reduces provider-specific application changes.
    • ✓Enterprise supports air-gapped deployment, SSO, SCIM, audit logs, and SLAs.
    • ✓Enterprise licensing is capacity-based rather than per token.

    Cons

    • ✗Self-hosters own upgrades, scaling, and availability.
    • ✗A gateway outage affects every application behind it.
    • ✗Enterprise price requires a quote.
    • ✗Provider differences can leak through the common API.

    exo (Exo Labs) - Pros & Cons

    Pros

    • ✓Full data privacy — every token stays on your network
    • ✓One-time hardware cost beats hourly cloud pricing for steady workloads
    • ✓Drop-in OpenAI SDK compatibility means zero app rewrites
    • ✓Active open-source community and a credible commercial sponsor
    • ✓Works with consumer hardware you may already own (Mac Studio, Mac mini)

    Cons

    • ✗Throughput per node is well below a hosted H100 — not for low-latency consumer products
    • ✗GPL licensing complicates commercial embedding for some teams
    • ✗Cluster setup still rewards networking knowledge despite auto-discovery
    • ✗Apple Silicon is the optimised path; mixed-vendor clusters are rougher
    • ✗No SLA or managed support unless you engage Exo Labs commercially

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