Contextwaise vs Magni

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

Contextwaise compared with Magni
Detail	Contextwaise	Magni
What it does	Context optimization for production AI	Near-silicon inference
Stage	MVP	Not given
Founded	Not given	Not given
Based in	GB	US
Pricing model	Freemium	Not given
Pricing	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.	Not given
Key features	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	Multi-model optimization on any hardware within days Agent swarms for inference optimization
What makes it different	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	Reaches near-silicon performance limits on existing GPU hardware Works on any model and any hardware without replacement Rapid deployment within days rather than weeks or months
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	4 +4 (up) since last check
Trust Flow (Majestic)	6	0
Citation Flow (Majestic)	19	0
Referring domains (Majestic)	2	0

4 details filled in for both companies.