jilebi vs Contextwaise

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

jilebi compared with Contextwaise
Detail	jilebi	Contextwaise
What it does	Linux machines in the cloud for AI agents	Context optimization for production AI
Stage	Startup	MVP
Founded	Not given	Not given
Based in	Not given	GB
Pricing model	Paid	Freemium
Pricing	CPU: $0.009/vCPU·hr, Memory: $0.009/GB·hr, Disk: $0.0001/GB·hr. Stopped machines cost $0.0001/GB·hr.	Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Key features	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	Removes duplicate context and off-topic results Works with any LLM provider API and SDK integrations Quality guard checks if kept context is sufficient Local cleanup of tool output and JSON fields Fallback to original context on service failure Per-agent budgets and token limits Savings report showing cost avoided
What makes it different	Machines wake in milliseconds No special CLI required Fully isolated virtual sandbox for each machine No credit card required to start	Reduces input tokens to LLMs by 56–71% on average Optimizes in milliseconds without slowing requests No model or provider changes required Every removal logged with reason and recoverable
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	6
Citation Flow (Majestic)	19	19
Referring domains (Majestic)	10	2

6 details filled in for both companies.

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