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Preference Model vs Kuuhaku

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

Preference Model compared with Kuuhaku
DetailPreference Model logo Preference ModelKuuhaku logo Kuuhaku
What it doesOpen-sourcing Karotte, a framework for building robust reinforcement learning environments Service map and architecture diagram generated automatically from your code
StageNot given Not given
FoundedNot given Not given
Based inNot given BR
Pricing modelOpen source Freemium
PricingNot given Starter: $9/month for 1 workspace, up to 5 repos; Team: $29/month for up to 30 repos in 5 workspaces; Company: $79/month for unlimited repos and workspaces. All plans include 14-day free trial with no credit card required.
Key features
  • Sandboxed execution with non-privileged user isolation
  • Process termination before grading
  • Suspicious file detection and rejection
  • Out-of-memory and fork-bomb prevention
  • Hardened through one million evaluation runs
  • Red-team tested for reward hacking vulnerabilities
  • Scalable environment execution
  • Robust benchmark building support
  • Automatic service mapping with HTTP routes, gRPC, queues, sockets, and shared databases
  • Pull request checks showing what breaks before merge
  • CLI that runs on your machines, uploading only the graph
  • Personal data map for GDPR and LGPD compliance
  • Slack and Teams alerts about architecture changes
  • Export to Mermaid, C4, Backstage, and PDF
  • Review inbox with suggested answers for unmatched calls
  • Import history and diffs to track architecture changes
What makes it different
  • Provides secure defaults and primitives specifically designed to prevent reward hacking in RL training
  • Hardened through real-world testing at scale with over one million evaluation runs
  • Designed for training environments where defenses must withstand continuous optimization attempts
  • Addresses AI alignment at the highest leverage point through better environment construction
  • Built and tested internally by frontier AI research team
  • Code stays on your infrastructure with CLI-only uploads
  • Pricing by repositories, not by seats
  • Proven accuracy on real systems with no false alarms
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)29 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)113
Citation Flow (Majestic)2418
Referring domains (Majestic)984

4 details filled in for both companies.

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