PortkeyvsOpenAI Codex

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

Full review →Website ↗

OpenAI Codex

Coding Assistants

Featured

OpenAI coding agent for CLI, IDE, web, desktop, and cloud workflows

Full review →Website ↗
FeaturePortkeyOpenAI Codex
CategoryLLM APIs & InferenceCoding Assistants
PricingFree + Pro plansIncluded with eligible ChatGPT plans; additional credits available
GitHub Stars
6k
✓ More stars
85k
PlatformsWeb, DockermacOS, Windows, Linux, Web
Key Features
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
  • ✓ Terminal coding agent
  • ✓ IDE extension
  • ✓ Web and desktop app
  • ✓ Multi-agent workflows
  • ✓ Cloud environments
  • ✓ Worktrees
  • ✓ PR review
  • ✓ MCP and tool use
Pros
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
  • + Official OpenAI coding agent
  • + Works across CLI, IDE, web, desktop, and cloud
  • + Open-source CLI under Apache-2.0
  • + Strong fit for parallel agent workflows
  • + Designed for end-to-end software tasks and PR review
Cons
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
  • − Usage limits vary by ChatGPT plan
  • − Cloud and ChatGPT surfaces are proprietary
  • − Autonomous code changes still require review
  • − Team controls depend on workspace plan
Tags
gatewayreliabilityobservabilityapi
codingagenticcliideopenaichatgptmulti-agent

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