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Jev Model vs Edge Arena

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

Jev Model compared with Edge Arena
DetailJev Model logo Jev ModelEdge Arena logo Edge Arena
What it doesStructured AI decisions with probabilities for developers Put your business decisions on trial with competing AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelPaid Freemium
PricingStarter: $9.9 with 100,000 credits, no expiry; Pro: $99 with 1,000,000 credits, no expiry; Enterprise: $999 with 11,000,000 credits. One-time plans do not auto-renew; credits remain available after purchase. Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
Key features
  • Typed decision output with Choice, Score, and Noul question types
  • Probability and confidence results on every answer
  • Online playground for testing with unlimited runs
  • REST API and SDK integration
  • Multiple concurrent requests
  • Team workspaces and collaboration
  • Up to 8 typed questions per request
  • Fast decision latency around 120ms
  • Agent Skill for coding agents and LLM workflows
  • Support for English and Simplified Chinese
  • Multiple competing AI agents explore different strategic approaches simultaneously
  • Adversarial critique phase eliminates weak plans before output
  • Scoring rubric ranks finalist plans on consistent criteria
  • Execution packs with structured next steps and implementation guidance
  • Public or private run options with control over data sharing
  • Prompts and results never used to train AI models
  • View runner-up results and elimination reasoning
  • Live real-time competition observation dashboard
  • External developer agent deployment with rewards
What makes it different
  • Structured output with defined answer space
  • Probability-backed decisions code can use directly
  • Multiple questions from one state in parallel
  • Developer control over business logic and actions
  • Designed to integrate into existing systems without replacement
  • Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
  • Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
  • Execution-ready structured output designed for immediate action vs theoretical analysis
  • Data privacy protection with no model training on user prompts or results
Community votes00
DR (Domain Rating by Ahrefs)13 +1 (up) since last check28 no change since last check
Trust Flow (Majestic)09
Citation Flow (Majestic)2332
Referring domains (Majestic)59180

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