odnoga vs everyone else
Honest comparison. We win where multi-tenant SaaS lives — prompts, per-end-user billing, Supabase-native. We name competitors where it matters.
Choosing between odnoga and calling a vendor directly? See the honest breakdown
Interactive filter — focus on what actually differs.
vs. Portkey · OpenRouter · LiteLLM
All four route requests across providers. Only odnoga ships the SaaS business layer: tenant identity, per-end-user Stripe billing, prompt A/B with rollback, Supabase-native SDK.
Swipe the table sideways →
| Feature | Portkey | OpenRouter | LiteLLM | odnoga |
|---|---|---|---|---|
| Multi-provider single API | ||||
| Drop-in OpenAI compatible | ||||
| Smart routing + fallback | partial | |||
| Vault key rotation | n/a | |||
| Prompt versioning + A/B + rollback | basic | |||
| Multi-tenant identity (per-tenant scopes) | ||||
| Per-end-user attribution (1 header) | partial | |||
| Tenant Stripe + consolidated invoice | ||||
| Supabase-native SDK (auto end-user from JWT) | ||||
| MCP server | ||||
| Time-to-prod for multi-tenant SaaS | weeks | weeks | weeks | 1 day |
vs. LangSmith · Langfuse · Helicone
These are SDKs you bolt on. odnoga is the gateway itself — prompts, tracing, routing, billing and tenant identity are one system, not four.
Swipe the table sideways →
| Feature | LangSmith | Langfuse | Helicone | odnoga |
|---|---|---|---|---|
| Request logging & traces | ||||
| Prompt registry + versions | partial | |||
| Prompt A/B by traffic % | partial | partial | ||
| Instant prompt rollback (label flip) | manual | manual | ||
| Acts as the gateway (routes traffic) | ||||
| Routing across providers + fallback | partial | |||
| Vault key rotation | partial | |||
| Multi-tenant identity baked in | ||||
| Per-end-user billing on Stripe | ||||
| Supabase-native SDK |
And the broader picture
Swipe the table sideways →
| Feature | Typical LLM proxy | Cloud provider AI | odnoga |
|---|---|---|---|
| Per-tenant billing & limits | |||
| Vault key rotation | partial | ||
| Prompt versioning + A/B | partial | ||
| Frozen multi-model prompt evaluation | partial | ||
| Explicit real-run capture into a test case | |||
| MCP server out-of-the-box | |||
| "auto" routing with fallback | manual | ||
| Drop-in OpenAI compatible | |||
| Multi-provider in one API | |||
| Stripe billing native | |||
| Self-host option | rare | Enterprise | |
| Time-to-prod | 1–2 weeks | 1–3 months | 1 day |
Compare on evidence from your own product
The differentiator is not a checkbox in a feature table. In odnoga, one reviewed production call can become a frozen test case; the same prompt version and cases then run across 2–8 models, with responses, pass results, tokens, billed cost and latency in one dashboard.
vs. Typical LLM proxies
Proxies forward requests and aggregate logs. odnoga is a control plane: per-tenant identity, billing, prompts and MCP. You stop bolting on the business layer.
vs. Cloud AI services
Cloud AI ties you to one vendor and one billing model. odnoga keeps you portable across providers and turns your usage into per-tenant revenue.
vs. Build it yourself
Yes, you can write a key vault, a meter, a router and a prompt registry. It takes 6 months and a security review. Or you ship next week.
When NOT to pick odnoga
You run a single-tenant internal tool with one engineer. A bare provider SDK is simpler.
You need a self-hosted, fully offline runtime today. odnoga self-host is Enterprise-only.
Your bottleneck is model fine-tuning workflows. Use a training-focused platform — we route, we don't train.