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KoRouter vs Ficelle

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

KoRouter compared with Ficelle
DetailKoRouter logo KoRouterFicelle logo Ficelle
What it doesOne API for leading LLMs with up to 63% savings OpenAI-compatible router that puts free LLM models from 13 providers behind one endpoint with automatic failover
StageStartup Not given
FoundedNot given Not given
Based inUS FR
Pricing modelPaid Freemium
PricingNot given Free: open core under BSL 1.1, no account or card required. Pro: 12 € monthly (or 9.08 € per month billed annually at 109 €/yr), or 199 € for Lifetime license (one payment, no renewals, limited to first 200). 14-day free trial for Pro requires a card.
Key features
  • OpenAI-compatible API endpoint
  • Automatic failover between providers
  • Single API key for multiple models
  • Unified billing and credit balance
  • No monthly fees or minimum spend
  • Support for OpenAI and Anthropic SDKs
  • Rate-limit smoothing
  • Unified usage analytics
  • API keys stored as one-way hash
  • Automatic failover across 13 free LLM providers
  • OpenAI-compatible API endpoint
  • Model capability testing for tools, JSON and vision
  • Hardcoded zero paid model fallback
  • Local router with keys staying on your machine
  • Model fusion and answer synthesis in Pro
  • Custom virtual model profiles in Pro
  • Native prompt compression to reduce tokens
  • Automatic model cooling and recovery probing
  • Support for Cursor, Continue, Open WebUI, LangChain and Claude Code
What makes it different
  • Single endpoint replaces multiple provider APIs
  • Save up to 63% on LLM inference costs
  • Automatic routing and failover across providers
  • No monthly fees or startup costs
  • Works with existing OpenAI-compatible tools and frameworks
  • Structured inability to spend money on paid models, enforced in code not configuration
  • No middleman: keys stay local, prompts go directly to providers
  • Benchmarked quality parity with gpt-5 for classification, extraction and reasoning
  • Millisecond failover when a model rate-limits or fails
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)2312
Referring domains (Majestic)91

5 details filled in for both companies.

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