Portkey
by Portkey AI Gateway · AI gateway, observability and governance for LLM applications
BenchRank score
Screenshots of Portkey
Homepage
Overview
Portkey is a platform for running LLM applications in production, combining an AI gateway, observability, guardrails, governance and prompt management. Applications call a unified API that routes to 1,600+ models, with fallbacks, load balancing, retries and caching. Logs, traces and costs are recorded in a dashboard, with RBAC, budget limits and audit logs on top.
- Best for
- Engineering teams putting LLM apps into production and needing central routing, logging and governance.
- Pricing
- Free Developer tier, $49/month for Production plus $9 per additional 100k requests, custom-priced Enterprise, and a self-hosted open-source option.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- Unified API to 1,600+ LLMs, integrated in about three lines of code
- Fallbacks, load balancing, retries and caching on every plan
- Free tier plus a self-hostable open-source gateway
- RBAC, budget limits and audit logs for multi-team governance
Trade-offs
- Free tier is stated as not suitable for production workloads
- $49 Production plan excludes custom security controls and data residency
- SSO, PII anonymiser and VPC hosting are Enterprise-only
- Log overage on Production: $9 per extra 100k requests, up to 3M
How Portkey markets itself
A structured read of the promise, proof and page design on Portkey’s captured homepage.
Homepage capture
“Production Stack for Gen AI Builders”
- Angle: All-in-one / consolidation
- Hero: Product screenshot
Pricing
Published plans and prices from Portkey’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
This doesn’t look right — report a problem with Portkey’s score
Where this comes from
The Portkey pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
Alternatives in AI Development Platforms
Ranked 1
85.5 — BenchRank score out of 100Mem0
Mem0 · Hosted memory layer for AI agents, with Python and Node SDKs
Best for: Developer teams adding persistent memory to AI agents through a hosted API, with a free tier
Ranked 2
83.7 — BenchRank score out of 100Nango
Nango · Code-first integration platform covering 900+ APIs
Best for: Product teams building many third-party API integrations into a SaaS product or AI agent
Ranked 3
81.4 — BenchRank score out of 100Supermemory
Supermemory · Memory and retrieval layer for AI agents
Best for: Developers giving AI agents persistent memory and retrieval through a single hosted API.
Is this your product?
Claim Portkey AI Gateway to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.