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 30+ 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
Models30+ 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 30+ 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 30+ 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.