coding

Portkey AI Gateway

Enterprise AI gateway connecting 1600+ LLMs with unified API, smart routing, caching, and observability.

How the 7.6 was reached

  1. Quality of output7/10

    13,103 stars on an MIT repo with recent activity; 279 open issues; the vendor's traffic and uptime figures look unreliable. github.com

  2. Ease of use8/10

    Run locally with one npx command; local console and docs available. github.com

  3. Pricing value8/10

    Free-forever developer plan, $49/month production plan, and an MIT self-hostable gateway. portkey.ai

  4. API and integration quality9/10

    Universal API covering Chat Completions, Responses and Messages across 1600+ LLMs, with routing, retries, fallbacks and caching. portkey.ai

  5. Solves the problem it claims to solve6/10

    Only independent evidence is 13k GitHub stars; the 3000+ LLM claim compares with 1600+ in the docs, and governance features are unverified. github.com

7.6/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works

Pricing

Free
$0/mo
  • Limited requests/month
  • Access to 200+ LLMs
  • Basic observability
  • Prompt library
Developer
$49/mo
  • Higher request limits
  • Semantic caching
  • Virtual key management
  • Fallback routing
Enterprise
Custom
  • Unlimited requests
  • Custom data residency
  • SSO/SAML
  • SLA guarantees
  • On-premise deployment option

Key Features

  • Unified API across 1600+ LLMs and providers
  • Smart routing with automatic failover and load balancing
  • Semantic and simple caching to reduce latency and cost
  • Virtual key vault for centralized LLM credential management
  • Real-time observability, logging, and usage analytics
  • Prompt management with collaborative libraries and versioning
  • Provider batch API support for high-volume workloads

Pros & Cons

Pros

  • Exceptional breadth — 1600+ provider/model combinations via one integration
  • Production-grade reliability features (failover, retries, load balancing) out of the box
  • Open-source self-hostable core reduces vendor lock-in risk
  • Caching can meaningfully cut costs on repetitive workloads
  • Strong observability without requiring a separate tracing tool

Cons

  • Pricing jumps sharply from free to paid for teams with moderate volume
  • Feature depth can be overwhelming for simple single-provider use cases
  • Fine-tuning and batching integrations depend on provider support, not always consistent
  • Documentation quality varies across less-popular providers
Verdict

Portkey is a mature, production-ready AI gateway that genuinely earns its place in any multi-LLM stack. The unified API, smart routing, and built-in caching solve real operational problems at scale. Best suited for teams already running multiple AI providers who need governance and reliability — overkill for a hobby project on a single model.

Try Portkey AI Gateway →

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