TabbyMLvsPortkey

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

TabbyML

Coding Assistants

Self-hosted AI coding assistant

Full review →Website ↗

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

Full review →Website ↗
FeatureTabbyMLPortkey
CategoryCoding AssistantsLLM APIs & Inference
PricingFree (open-source)Free + Pro plans
GitHub Stars
✓ More stars
22k
6k
PlatformsLinux, macOS, DockerWeb, Docker
Key Features
  • ✓ Code completion
  • ✓ Self-hosted
  • ✓ Multiple models
  • ✓ RAG
  • ✓ IDE plugins
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
Pros
  • + Self-hosted and private
  • + Multiple IDE support
  • + Code completion + chat
  • + Team-friendly
  • + Open-source
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
Cons
  • − Requires server setup
  • − Needs GPU for good performance
  • − Smaller model selection
  • − Less accurate than Copilot
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
Tags
codingself-hostedopen-sourcelocal
gatewayreliabilityobservabilityapi

Want to compare different tools?

← Back to compare picker

Related Comparisons

TabbyML vs Hugging Face →Portkey vs Hugging Face →TabbyML vs Claude Code →Portkey vs Claude Code →TabbyML vs OpenAI Codex →Portkey vs OpenAI Codex →TabbyML vs Cursor →Portkey vs Cursor →TabbyML vs Cline →Portkey vs Cline →TabbyML vs Devin →Portkey vs Devin →