Ficelle vs Septor Labs

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

Ficelle compared with Septor Labs
Detail	Ficelle	Septor Labs
What it does	OpenAI-compatible router that puts free LLM models from 13 providers behind one endpoint with automatic failover	One OpenAI-compatible API for every model with adaptive routing, hosted agents, pipelines, and observability
Stage	Not given	Startup
Founded	Not given	2025
Based in	FR	IN
Pricing model	Freemium	Not given
Pricing	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.	Free: $1 free credits on signup (90 days), 50 requests and 500K tokens per day on free models. Starter: $14/month (30% off with PROMO code), includes $20 in monthly credits, 10 RPM burst 1.5x, 2 pipelines. Paid: $35/month (30% off), includes $50 in monthly credits, 20 RPM, 4 pipelines. Pro Plus: $70
Key features	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	Access to 100+ open-weight and frontier AI models behind one endpoint OpenAI-compatible HTTP endpoint Semantic caching to reduce latency and costs Reproducible pipelines composing models, tools, and data Per-request structured traces with latency and cost breakdown Adaptive routing with latency-aware fallbacks Model-agnostic RAG, web search, and PII redaction via single header Works with existing OpenAI SDK without code changes
What makes it different	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	One unified invoice and observability dashboard across all models, agents, and pipelines Transparent prepaid credits with per-token rates published in your dashboard Hosted agents with explicit CPU and memory caps and fail-closed credit gates No synthetic data in dashboards; all metrics reflect actual user traffic No model retraining on customer data
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	27 +4 (up) since last check
Trust Flow (Majestic)	0	3
Citation Flow (Majestic)	12	19
Referring domains (Majestic)	1	16

5 details filled in for both companies.

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