Jev Model vs Ficelle

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

Jev Model compared with Ficelle
Detail	Jev Model	Ficelle
What it does	TypeSafe's model for typed decisions	OpenAI-compatible router that puts free LLM models from 13 providers behind one endpoint with automatic failover
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	FR
Pricing model	Freemium	Freemium
Pricing	Free: 10,000 input tokens for guests, 100,000 tokens after sign-in. Starter pack $9.90 for 15,000,000 input tokens (never expires). 35M pack $19.90, 75M pack $39, 200M pack $76, 600M pack $170. Monthly plans: Creator $29/mo (60,000,000 tokens), Studio $49/mo (165,000,000 tokens), Max $98/mo (396,000	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	Choice output for routing and classification Score output for ranking and priority Noul output for yes/no probability gates Playground with free tokens API with typed request/response Image input support in Jev 1.14 Long context support Stable and preview model versions	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	Returns typed decisions instead of chat One-time token packs that never expire Low per-token cost starting at $0.042 per million input tokens Free output tokens Accessible without TypeSafe account	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 votes	0	0
DR (Domain Rating by Ahrefs)	6 +2 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	15	0
Citation Flow (Majestic)	29	12
Referring domains (Majestic)	43	1

5 details filled in for both companies.

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