OmniRoute vs Alternatives

Objective feature comparison vs popular open-source AI routers.

Methodology: Public repos audited 2026-Q2. Versions as listed. Submit corrections via PR — we want this to be accurate.

Feature	OmniRoute 3.8	LiteLLM 1.x	OpenRouter (SaaS)	Portkey
Providers	329	~100	~50	~30
Free/no-auth catalog entries	155	n/a	passthrough	n/a
Self-hostable	✅	✅	❌	⚠ paid
OAuth catalog entries	23	partial	❌	❌
Auto-fallback combos	19 strategies	priority-based	tier-based	weighted
Fusion (parallel panel + judge synthesis)	✅	❌	❌	❌
Tier 1/2/3 fallback (subscription→cheap→free)	✅ + UI	manual	n/a	manual
Token compression	12-engine stack (RTK + Caveman + LLMLingua)	none	none	none
Multimodal generation (speech/music/video)	✅	❌	passthrough	❌
Built-in MCP server	✅ 107 tools, 32 scopes	❌	❌	❌
A2A protocol	✅ 6 skills	❌	❌	❌
Memory (FTS5 + vector)	✅	❌	❌	❌
Guardrails (PII, injection, vision)	✅	partial	❌	✅ paid
Cloud agent integrations	Codex, Cursor, Devin, Jules	❌	❌	❌
Circuit breaker per provider	✅ 3-state, lazy recovery	basic	❌	✅
TLS fingerprint stealth (JA3/JA4)	✅ wreq-js	❌	❌	❌
Eval framework	✅ built-in	❌	❌	⚠ paid
MITM proxy (intercepts Cursor/Antigravity)	✅ cross-platform	❌	❌	❌
CLI with system tray (no Electron)	✅	❌	n/a	n/a
CLI machine-ID auto-auth	✅	❌	n/a	n/a
Dashboard	Next.js 16	basic	proprietary	proprietary
i18n	43 locales	❌	❌	⚠
Public agent skills (SKILL.md)	✅ 45	❌	❌	❌
Tunnel support (Cloudflared, Tailscale, Ngrok)	✅	❌	n/a	n/a
License	MIT	MIT	proprietary	proprietary

When to choose OmniRoute

• You self-host and want maximum provider coverage (329 providers, 155 free/no-auth catalog entries)
• You need a built-in MCP server (LLM tools, memory, skills exposed as tools)
• You need A2A protocol for agent-to-agent workflows
• You want fingerprint stealth (JA3/JA4) to avoid detection by upstream CAPTCHAs
• You need enterprise features (guardrails, evals, audit trail) without a SaaS bill

When to choose LiteLLM

• You're Python-first and need tight integration with litellm.completion()
• You need mature production deployment recipes (k8s, Helm charts)
• Your team already runs Python microservices

When to choose OpenRouter (SaaS)

• You don't want to self-host
• You're fine paying per-token at SaaS markup
• You need a single payment method across all providers

When to choose Portkey

• You need a commercial SLA with uptime guarantees
• You prefer a managed dashboard without ops overhead
• You need enterprise compliance features out of the box

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Last updated: 2026-08-02. Submit corrections via PR to keep this table accurate.