AI teams · Routing

The best model for the call. Not the one wired in last quarter.

Apinizer's AI Gateway routes every prompt by cost, latency, capability, and policy. Frontier model when needed; regional when sufficient; open-weight when sovereign — all under one identity, one audit, one runtime.

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Multi-LLM routing — For AI teams use case overview from Apinizer. — For AI teams · Multi-LLM routing

The problem

One hard-wired model is one outage and one cost spike away from regret.

Services pick a model in a sprint and inherit its bill, its rate limit, its sovereignty profile, and its outages forever. When the provider has an incident, the app does too. When a cheaper model would serve, the team pays the frontier price anyway. Apinizer turns the model into a policy decision — per call, not per service.

Capabilities

What Apinizer does here

Capability-based routing

Tag prompts by intent. Route summarization to a small model, code generation to a code-specialist, vision to a multi-modal — without changing the application.

Cost-aware tiers

Free models first; paid only on fallback. Frontier providers only on intents that need them. The gateway picks the cheapest sufficient model per call.

Failover and load balancing

Provider hiccup? Traffic rolls to the next provider in the pool with the same capability profile. Application doesn't know there was an incident.

Sovereignty rules

Personal data routes only to providers in approved jurisdictions. The policy is data, not code; the rule applies to every call automatically.

A/B and shadow traffic

Try a new model on 5% of traffic with the same auth and audit. Compare cost, latency, quality side-by-side before flipping the default.

Open-weight + frontier in one pool

Local llama / mistral / qwen deployments live in the routing pool alongside hosted providers. The application doesn't choose; the policy does.

Use cases

In production, this looks like…

Banking
Istanbul bank routes Turkish-language calls to a local model first
90% of customer-service summaries handled by a TR-tuned model hosted in-country. Frontier providers used only for adversarial or English-mixed cases.
90% local, 10% frontier
Manufacturing
Munich OEM routes engineering Q&A to a code-specialist model
Code generation and review go to a code-specialized model; design-doc summarization to a general model. Tail latency drops; quality goes up.
Insurance
Paris insurer keeps PII calls inside EU-hosted providers
Routing rule reads the request's data classification. Anything tagged PII routes only to providers in approved jurisdictions; everything else has the full pool.
Retail
Madrid retailer fails over a provider outage in seconds
Frontier provider returns 5xx for 14 minutes. The gateway rolls to the secondary; application keeps serving without an incident page.
0 user-facing impact
Media
Milan publisher A/B-tests a new model on 5% of traffic
Shadow traffic confirms equivalent quality at 60% lower cost. Cutover happens with one policy change; rollback would have been just as easy.
Healthcare
Prague hospital routes clinical Q&A only to certified models
Compliance-approved model list maintained centrally. Routing never picks an uncertified model; auditors stop asking 'which model answered'.
Government
Riyadh ministry routes Arabic content to a national model first
Sovereign Arabic LLM gets first call; frontier providers as fallback. Cost falls; sovereignty story tightens.
Energy
Baku utility runs operations agents on open-weight models
Local 70B model runs SCADA agent prompts. Hosted providers reserved for non-operational use. The agent never leaves the operator network.