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Aster vs Ficelle

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

Aster compared with Ficelle
DetailAster logo AsterFicelle logo Ficelle
What it doesIntelligent Auto Routing OpenAI-compatible router that puts free LLM models from 13 providers behind one endpoint with automatic failover
StageGrowing Not given
FoundedNot given Not given
Based inNot given FR
Pricing modelPaid Freemium
Pricingaster-work: $0.40 input / $0.80 output per million tokens. aster-code: $0.80 input / $1.60 output per million tokens. No subscription or seat fees. Prepaid credits start at $5 with no expiry. Routing included in product rates. 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
  • Task-aware model routing
  • Curated model collection
  • 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
  • Reinforcement learning router trained on real task data
  • 97.5% lower token cost vs frontier models
  • Same product name regardless of underlying model
  • 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 −4 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1112
Referring domains (Majestic)231

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