FlexAI vs jilebi

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

FlexAI compared with jilebi
Detail	FlexAI	jilebi
What it does	Agent-native AI infrastructure for building, running and scaling AI from models to agents	Linux machines in the cloud for AI agents
Stage	Not given	Startup
Founded	Not given	Not given
Based in	FR	Not given
Pricing model	Freemium	Paid
Pricing	Token Factory: per-token pricing from $0.010/M tokens (BGE-M3) to $0.700/M tokens (GLM 5.2) for input, with output tokens at higher rates; image generation from $0.0005 per image (FLUX.1); speech-to-text from $0.0002/min; text-to-speech at $0.99/M characters; Dedicated GPU: H100 from $2.10/hr, H200	CPU: $0.009/vCPU·hr, Memory: $0.009/GB·hr, Disk: $0.0001/GB·hr. Stopped machines cost $0.0001/GB·hr.
Key features	Token Factory: serverless inference with 30+ open models through single OpenAI-compatible key AgentOS: governed agent execution with tools, approvals and audit trails OpenAI-compatible API for text, vision, image, video and audio models Dedicated Endpoints with reserved GPU capacity and autoscaling AI Factory for VPC, on-premise and air-gapped private cloud deployment Fine-tuning with managed runs supporting SFT, DPO and GRPO Multi-model inference with intelligent routing and model switching Up to 99.9% uptime SLA with GDPR and SOC 2 Type II compliance Support for multiple runtimes and hardware accelerators including NVIDIA and AMD Blueprints library with ready-to-run templates for inference and fine-tuning	Launch machines in seconds Auto-sleep when not in use Wake up in milliseconds Dedicated CPU, memory and disk per instance Clone machines with same setup Automatic routing without IP configuration Standard tools support (docker, ssh) Share routes with selective access
What makes it different	Single OpenAI-compatible API key across 30+ models with no ecosystem lock-in Transparent pricing at credible market rates with automatic repricing as market moves Unified path from serverless inference to dedicated capacity to private cloud on same platform Multi-architecture fleet using NVIDIA and AMD for high utilization and lower cost per token Agent-native platform with governed execution, tool calls and audit trails for production workloads	Machines wake in milliseconds No special CLI required Fully isolated virtual sandbox for each machine No credit card required to start
Community votes	0	0
DR (Domain Rating by Ahrefs)	42 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	10	0
Citation Flow (Majestic)	35	19
Referring domains (Majestic)	272	10

5 details filled in for both companies.

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