TL;DR — OpenRouter is best when you want one bill across many providers and like picking models yourself. Portkey is best for enterprise governance. Helicone is observability-only. LiteLLM is self-hosted. jusInfer is best when you want coding-specific routing that picks the cheapest capable model per call.
OpenRouter alternatives in 2026 — when to use each
OpenRouter popularized the LLM-gateway pattern: one API key, many providers. It's good. It also doesn't suit every workload, and several alternatives have shipped real product since. This post lays out the landscape honestly.
The four shapes of "LLM gateway"
Before comparing tools, separate them by what they actually do:
| Shape | What it does | Examples |
|---|---|---|
| Aggregator | Routes a request to one of many providers, pays them on your behalf, gives you one bill. You pick the model. | OpenRouter |
| Smart router | Same plus picks the model for you per request, optimizing for cost/quality. | jusInfer, parts of Portkey |
| Observability proxy | Sits in front of any provider, logs everything. You still pay the provider. | Helicone, Langfuse |
| SDK / self-host | Library you embed; you run the proxy. | LiteLLM |
People conflate these because they all "do gateway things." But the right pick depends on which shape you actually need.
The contenders
OpenRouter
Strengths: biggest model catalog. Pay-as-you-go. Clean OpenAI-compatible API. Strong community trust. Weaknesses: you pick the model. No coding-specific routing. No per-user caps (the team has to enforce them upstream). No seat pricing for shared teams. ~5% markup on provider prices. Best for: experimenters trying new models. Teams who already know which model they want.
Portkey
Strengths: enterprise-grade observability, prompt versioning, A/B testing, guardrails. Multi-region. Weaknesses: enterprise pricing. Setup overhead. Bring-your-own provider keys (so you still have N relationships). Best for: companies who already have an MLOps team and want governance.
Helicone
Strengths: best-in-class logging UX. Simple drop-in (one base URL change). Open source. Weaknesses: observability only — they don't route or aggregate. You still pay your provider directly. No cost-optimization story. Best for: teams who already have a provider but need visibility into what their agents are doing.
LiteLLM
Strengths: open source. Run it yourself. Normalizes provider APIs in any language with Python. Weaknesses: you operate it. You debug it. You build the routing logic. The cost optimization is whatever you write. Best for: teams who want full control and have the infra muscle to maintain a proxy.
jusInfer
Strengths: purpose-built for coding agents — model selection is opinionated and benchmarked on coding tasks, not generic chat. Per-user soft caps, seat pricing, JWT-or-API-key auth out of the box. OpenAI-compatible + Anthropic-compatible. Weaknesses: smaller catalog than OpenRouter (we curate, not aggregate). No prompt versioning yet. No regional pinning. Best for: developer teams whose biggest line item is coding-agent inference and who'd rather not babysit model selection.
Decision tree
Do you want one bill across many providers?
├─ Yes → Do you want to pick the model yourself?
│ ├─ Yes → OpenRouter
│ └─ No → jusInfer (if coding) or Portkey (if enterprise)
└─ No → Do you need logging or governance?
├─ Yes → Helicone or Portkey
└─ No → just use the provider SDK directly
Pricing model honesty
| Tool | Their fee | Your provider bill |
|---|---|---|
| OpenRouter | ~5% markup | passed through |
| Portkey | per-seat enterprise plan | passed through (you bring keys) |
| Helicone | freemium → paid tiers by request volume | passed through (you bring keys) |
| LiteLLM | free (open source) | passed through (you bring keys) |
| jusInfer | margin baked into per-token price | included — no separate provider bill |
The "we bring the keys" model (Portkey/Helicone/LiteLLM) keeps you locked into your existing provider relationships, which is good or bad depending on whether you like managing them.
The "we pay the providers" model (OpenRouter / jusInfer) gives you one vendor relationship and one bill — at the cost of trusting that vendor's margin and uptime.
Migration notes
- From OpenRouter to jusInfer: change the base URL from
https://openrouter.ai/api/v1tohttps://api.jusinfer.com/v1and the key. Drop the model id (usejusInfer-auto) or keep it (we honor explicit picks). - From a provider SDK to anything: most providers' SDKs accept a
base_urloverride. Look for it in the constructor. - From LiteLLM to a hosted gateway: you'll save ops time. You'll lose the ability to debug locally; mitigate by piping logs to your own observability.
Related reading
- The cheapest LLM API for coding agents in 2026
- What is an inference endpoint?
- OpenAI-compatible drop-in guide
Raw markdown: /blog/openrouter-alternatives-2026.md