Alternatives

What is the best Portkey alternative for developers in 2026?

Portkey is an AI gateway: routing, guardrails, caching and observability in front of providers. It is not a model provider. If you need the inference layer underneath, Plugsky is OpenAI-compatible with 38 models and flat monthly pricing. Keep Portkey for gateway depth and point it at Plugsky as an upstream.

Key facts

RelationshipPlugsky is the inference API; Portkey can route and observe it
Models38 models in one catalogue, from free tiers to frontier reasoning
PricingFlat monthly self-serve plans with unlimited fair-use usage
Free tierplugsky-micro and plugsky-lite, no card required
Trial14-day full-access trial for stronger models
Built-in analyticsUsage analytics are available in the dashboard
DeploymentPlugsky cloud, your VPC, on-prem and air-gapped

TL;DR

  • Portkey governs traffic; Plugsky serves models.
  • They compose because Plugsky is OpenAI-compatible.
  • Keep gateway guardrails and caching; add Plugsky as an upstream.
  • Plugsky's built-in analytics cover basic monitoring needs.
  • Consolidate provider keys where the gateway is not required.

How it works, step by step

  1. Separate your needs: model inference, gateway policy, or both.
  2. For inference, create a Plugsky key on the free plan and test a workload.
  3. If you keep Portkey, register Plugsky as an OpenAI-compatible upstream.
  4. Verify guardrails and caching behave the same with the new upstream.
  5. Compare built-in analytics with your gateway dashboards.
  6. Document which traffic uses gateway features and which calls Plugsky directly.
1Separate yourneeds: modelinference, gateway2For inference,create a Plugskykey on the free3If you keepPortkey, registerPlugsky as an4Verify guardrailsand caching behavethe same with the5Compare built-inanalytics with yourgateway dashboards.6Document whichtraffic usesgateway features

Try it yourself

Open the Portkey API cost calculator →

What Portkey provides

Portkey sits in front of model providers and applies policy: routing rules, fallbacks, caching, guardrails, budget limits and observability. For teams with multiple providers, compliance requirements or a need to centralise keys, a gateway is a legitimate architectural layer.

It is not an inference provider. That distinction keeps the evaluation honest: if your problem is policy and visibility, keep a gateway; if your problem is where models run and what they cost, choose the provider underneath.

Gateway and provider, composed

Plugsky exposes an OpenAI-compatible endpoint, so it can be registered as an upstream in Portkey like any OpenAI-style provider. You keep guardrails and caching, and you gain a catalogue of 38 models, flat monthly self-serve pricing and sovereign deployment options where required.

  • Add Plugsky as an upstream and canary a share of traffic.
  • Confirm streaming and tool payloads flow through unchanged.
  • Reconcile spend between gateway and provider dashboards.
  • Scope keys per environment to simplify rotation.
  • Test gateway retries against provider timeouts before production rollout.

When built-in analytics are enough

Plugsky includes usage analytics in the dashboard: volume, model mix and errors. For single-provider stacks without strict policy needs, that covers day-to-day monitoring. Gateways earn their place when you need custom guardrails, semantic caching, complex routing or customer-managed keys.

Plugsky is not a full gateway and does not claim to replace one, but built-in analytics cover everyday monitoring. Keep one source of truth for budgets; reconciling two dashboards wastes time. Audio, images, moderation, files, batch, fine-tuning, assistants and responses are coming soon; chat, streaming, tools, embeddings, RAG and agents are live. See the live pricing page for current plans.

Honest comparison

ConcernPlugskyPortkeyTypical custom middleware
RoleInference API for 38 modelsAI gateway and observabilityYou build routing and policy
API styleOpenAI-compatibleGateway in front of providersVaries
Pricing shapeFlat monthly self-serveSeparate gateway plansEngineering time
Policy featuresKeys and usage analyticsGuardrails, caching, budgetsWhatever you implement
DeploymentCloud, VPC, on-prem, air-gappedHosted or self-hostedVaries

Frequently asked questions

Does Plugsky replace Portkey?

No. Portkey is a gateway with routing, caching and guardrails; Plugsky is the inference provider. They typically run together, with Plugsky as an upstream.

Can Portkey route to Plugsky?

Yes. Plugsky is OpenAI-compatible, so it can be added as an upstream provider in the gateway.

Is there a free plan?

Yes. plugsky-micro and plugsky-lite are free with no credit card, and a 14-day full-access trial opens stronger models.

How is pricing structured?

Self-serve plans are flat monthly with unlimited fair-use usage and no per-token billing. See the live pricing page for current plans.

Do I still need a gateway for observability?

Only if you need deep tracing, custom guardrails or customer-managed keys. Plugsky provides built-in usage analytics for everyday monitoring.

Can Plugsky deploy privately behind a gateway?

Yes. VPC, on-prem and air-gapped deployments are available, which keeps gateway traffic inside your network.