Portkey

Portkey is a production LLM gateway and control...

8.3/10 Strong

Active

Developer free / Production $49/month / Enterprise custom

Best plan

Use Developer for prototyping, Production at $49/month when an app...

Risk: Developer is explicitly not positioned for production...

Try Portkey free

Editorial · no paid placements

Should you use it?

Portkey is a production LLM gateway and control plane. Pick it when routing, logs, prompts, guardrails, governance, analytics, caching, and provider-key controls need to sit in front of AI traffic. Compare Helicone for open-source observability/gateway simplicity, Braintrust for eval-heavy workflows, and LangSmith for LangChain-native agent operations.

Buy if Production AI apps that need one gateway across model providers
Pick Use Developer for prototyping, Production at $49/month when an app needs production logs, prompt templates, guardrails, RBAC, and support, and Enterprise for high-volume logs, custom retention, SSO, private hosting, compliance, and custom governance
Skip if Teams that only need prompt evaluation without live traffic routing

Plan guidance

What to buy

Best plan Use Developer for prototyping, Production at $49/month when an app needs production logs, prompt templates, guardrails, RBAC, and support, and Enterprise for high-volume logs, custom retention, SSO, private hosting, compliance, and custom governance

Watch: Developer is explicitly not positioned for production...

Price range Developer free / Production $49/month / Enterprise custom

Free Forever

Upgrade only if Not for teams that only need prompt evaluation without live traffic routing

Developer is explicitly not positioned for production...

Current pricing source: Portkey pricing

Fit

Use it for this, skip it for that

Best for

Production AI apps that need one gateway across model providers
Teams that need LLM logs, traces, feedback, cost, latency, and error analytics
Orgs that want prompt management, guardrails, budgets, and API key governance
Buyers comparing gateway control against eval-first observability tools

Avoid if

Teams that only need prompt evaluation without live traffic routing
Simple prototypes that can use provider dashboards directly
Buyers who need a full no-code workflow automation platform
Teams unwilling to own guardrail policy and provider-key governance

Watch out: Developer is explicitly not positioned for production workloads; production buyers should model recorded logs, retention, overages, private deployment, compliance, provider keys, latency, and guardrail policy ownership.

Recent changes

Only what affects the decision

Jun 28, 2026
Developer
Includes 10k recorded logs/month, 3-day log retention, 30-day metrics retention, gateway, observability, three prompt templates, simple caching, deterministic guardrails, and community...
Portkey pricing
Jun 28, 2026
Production
Includes 100k recorded logs/month, $9 overages per additional 100k requests, 30-day log retention, 90-day metrics retention, alerts, partner guardrails, unlimited prompt templates, RBAC...
Portkey pricing
Jun 28, 2026
Enterprise
Listed for 10M+ recorded logs/month, custom retention, custom guardrail hooks, SSO, granular budgets, rate limits, private cloud, data export, VPC hosting, compliance, and custom BAAs
Portkey pricing

Alternatives

Best swaps

Hugging Face

Open AI collaboration hub for models, datasets, Spaces, inference endpoints, evaluations, and enterprise ML workflows.

Free hub access; Pro $9/mo; Team $20/user/mo; Enterprise from $50/user/mo; paid compute/storage · 9.3/10 LiteLLM

Open-source LLM gateway and Python SDK for one OpenAI-compatible interface across 100+ model providers, with routing, virtual ke

Free MIT core outside enterprise directory; Enterprise custom · 8.8/10 promptfoo

Open-source LLM evaluation, red teaming, vulnerability scanning, guardrails, model security, MCP proxy, code scanning, and enter

Community free / Enterprise custom / On-Premise custom · 8.8/10

Build comparison

Proof and score math Verified Jun 28

Proof

Why this recommendation is trusted

Evidence Portkey docs

Source: Registered source
Freshness: Current
Confidence: High confidence
Verified: Jun 28, 2026
Review: Jul 12, 2026
Volatility: Volatile

High-volatility evidence needs frequent review.

Editorial score

Unweighted average of 4 axes · confidence high

Utility 9/10

How much real work it can do for a competent operator, end to end.
Value 8/10

What you get for the dollar relative to the closest alternative.
Moat 8/10

How hard it would be for a competitor to replicate the underlying advantage.
Longevity 8/10

How likely the product is to still be best-in-class 24 months out.

Verified facts

Best For Teams that need an LLM gateway with provider routing, observability, prompt management, guardrails, analytics, API key management, governance, and reliability controls.
high Drifts 2026-06-28 Portkey docs
Pricing Anchor Portkey pricing lists Developer as Free Forever with 10k recorded logs/month, Production at $49/month with 100k recorded logs/month and $9 overages per additional 100k requests, and Enterprise as custom pricing.
high Volatile 2026-06-28 Portkey pricing
Watch Out For Developer is explicitly not positioned for production workloads; production buyers should model recorded logs, retention, overages, private deployment, compliance, provider keys, latency, and guardrail policy ownership.
high Volatile 2026-06-28 Portkey pricing
Open Source Or Local The Portkey Gateway repository is MIT licensed, while Portkey Cloud pricing separates Developer, Production, and Enterprise plans.
high Drifts 2026-06-28 Portkey Gateway license
Gateway Surface Portkey docs describe AI Gateway, Guardrails, Observability, Prompts, and Governance features, including analytics APIs for cost, latency, requests, errors, feedback, cache, tokens, and users.
high Drifts 2026-06-28 Portkey docs

Full review notes Long-form details, FAQ, and source history

Portkey is an LLM gateway and control plane for production AI traffic. It combines routing, key management, observability, prompt management, guardrails, caching, cost tracking, analytics, and governance around model calls.

The short version: Portkey belongs on the shortlist when the team needs a gateway in front of model providers, not only an eval dashboard after the fact.

System Verdict

Pick Portkey when production AI traffic needs a control plane. It is strongest when provider routing, logs, cost visibility, prompt management, guardrails, budgets, key governance, and private deployment options matter together.

Skip it when evals are the core job. Braintrust or promptfoo should be checked first when release quality, red teaming, or vulnerability testing is the main buying reason.

Best plan guidance: use Developer for prototyping only. Production at $49/month is the first serious plan for live apps. Enterprise is the route when 10M+ recorded logs, SSO, custom retention, private hosting, compliance matter.

Key Facts


Core job	LLM gateway, routing, observability, prompts, guardrails, governance, and caching
Developer	Free Forever, 10k recorded logs/month
Production	$49/month, 100k recorded logs/month, $9 per extra 100k requests
Enterprise	Custom pricing with 10M+ recorded logs, custom retention, private cloud, VPC, compliance, and SSO
Open-source component	Portkey Gateway is MIT licensed
Main cost risk	Recorded logs, retention, overages, provider spend, guardrail policy, and private deployment needs

When To Pick Portkey

You need a gateway before model providers. Portkey is useful when model access, routing, retries, fallback, and governance need a shared layer.
You want LLM traffic analytics. Cost, latency, requests, errors, feedback, cache, tokens, and user data can be tracked through the platform.
You need prompt management. Prompt templates, playgrounds, API endpoints, versioning, and variables live alongside gateway controls.
You need guardrails and policy. Portkey can sit in the path where rate limits, budgets, guardrails, and API key rules are enforced.
You have enterprise deployment constraints. Private cloud, VPC hosting, custom retention, compliance, BAAs, and SSO sit in the Enterprise lane.

When To Pick Something Else

Open-source observability and gateway: Helicone when simple open-source gateway/observability and provider-cost pass-through are the main attraction.
Evals and experiments: Braintrust when release quality, datasets, experiments, and scored outputs are more important than traffic routing.
LangChain operations: LangSmith when LangGraph/LangChain traces, deployments, sandboxes, Fleet, and Engine controls matter most.
Model marketplace routing: OpenRouter when the buyer primarily needs one API across many model providers and public model pricing.
Workflow automation: n8n or Zapier when the job is SaaS traffic governance.

Pricing

Portkey pricing was checked on June 28, 2026 against the official pricing page.

Plan	Price	Included shape	Buyer fit
Developer	Free Forever	10k recorded logs/month, 3-day log retention, 30-day metrics retention	Prototypes, tests, enterprise POCs
Production	$49/month	100k recorded logs/month, $9 per extra 100k requests, 30-day logs, 90-day metrics, alerts, RBAC, support	Production apps with moderate traffic
Enterprise	Custom	10M+ recorded logs/month, custom retention, custom guardrails, SSO, private cloud, data export, VPC hosting, compliance	High-volume and regulated teams

Developer is useful, but Portkey explicitly frames it as not suitable for production workloads. Production buyers should model recorded log volume, retention, gateway latency, provider spend, guardrail false positives, prompt-template ownership, and incident response.

Failure Modes

Gateway changes can break production. Routing, fallbacks, retries, and guardrails need staged rollout and rollback plans.
Logs are not the only meter. Provider token spend, gateway overages, private hosting, support, and compliance needs may matter more than the base plan.
Guardrails need owners. A gateway can enforce policy, but the team still needs to define, test, and review that policy.
Latency has to be measured. Any gateway adds a control layer, so real traffic should be tested before standardizing.
Developer is not production. The free tier is for evaluation, not a reliable operating model for live user traffic.

Methodology

This page was produced by the aipedia.wiki editorial pipeline. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-28 against Portkey pricing, Portkey docs, the Portkey Gateway repository, and the Portkey Gateway license.

FAQ

Is Portkey free? Portkey lists Developer as Free Forever with 10k recorded logs/month, but says it is not suitable for production workloads.

Is Portkey open source? The Portkey Gateway repository is MIT licensed. Portkey Cloud has Developer, Production, and Enterprise plans.

Portkey vs Helicone? Both sit in the LLM observability/gateway lane. Portkey leans harder into governance, prompts, guardrails, and enterprise control. Helicone is a strong comparison for open-source observability and gateway simplicity.

Sources

Portkey pricing: Developer, Production, Enterprise, logs, retention, overages, and enterprise controls
Portkey docs: AI Gateway, Guardrails, Observability, Prompts, and Governance documentation index
Portkey Gateway repository: open-source gateway project
Portkey Gateway license: MIT license

Category: AI Infrastructure · AI Automation · AI Coding
Alternatives: Helicone · Braintrust · LangSmith · OpenRouter

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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/portkey/)

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aipedia.wiki Editorial. (2026). Portkey: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/portkey/

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aipedia.wiki Editorial. "Portkey: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/portkey/. Accessed July 2, 2026.

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aipedia.wiki Editorial. 2026. "Portkey: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/portkey/.

BibTeX

@misc{portkey-editorial-review-2026,
  author = {{aipedia.wiki Editorial}},
  title = {Portkey: Editorial Review},
  year = {2026},
  publisher = {aipedia.wiki},
  url = {https://aipedia.wiki/tools/portkey/},
  note = {Accessed: 2026-07-02}
}

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