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5.6 KiB
title, version, lastUpdated
| title | version | lastUpdated |
|---|---|---|
| OmniRoute vs Alternatives | 3.8.43 | 2026-07-01 |
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 | 237+ | ~100 | ~50 | ~30 |
| Free-tier providers | 90+ | n/a | passthrough | n/a |
| Self-hostable | ✅ | ✅ | ❌ | ⚠ paid |
| OAuth providers (Claude, Codex, Copilot, etc.) | 15+ | partial | ❌ | ❌ |
| Auto-fallback combos | 17 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 | 10-engine pipeline (RTK + Caveman + LLMLingua-2) | none | none | none |
| Multimodal generation (speech/music/video) | ✅ | ❌ | passthrough | ❌ |
| Built-in MCP server | ✅ 95 tools, 30 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 | 42+ locales | ❌ | ❌ | ⚠ |
| Public agent skills (SKILL.md) | ✅ 43 | ❌ | ❌ | ❌ |
| 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 (237+, 90+ with a free tier)
- 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
Last updated: 2026-06-28. Submit corrections via PR to keep this table accurate.