Jev-class decision models
PulseGate's liveness check found it on 21 Sep 2026; it is registered on GitHub and has been in the index since 21 Sep 2026. How this is checked
JevBench is a web-based benchmark for Jev-class typed-decision models. It ranks models using a composite score covering intelligence, calibration, speed, and cost, with filtering and comparison views for evaluators.
Inferred · not functionally tested
Overview
6 featuresPurpose: Comparing decision models consistently across capability, calibration, speed, and cost.
Inferred · not functionally tested
Audience: AI researchers, developers, and organizations evaluating models
Inferred · not functionally tested
Functions: analytics
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: free · license: MIT · platforms: WEB · deployment: browser, cloud_managed
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: benchmarkheaven.com · github.com. These links do not verify the individual claims.
In the Model leaderboards space, Jev-class decision models takes a focused approach. Inferred · not functionally tested: It focuses on comparing decision models consistently across capability, calibration, speed, and cost. Inferred · not functionally tested: Jev-class decision models is a B2B product aimed at AI researchers, developers, and organizations evaluating models. Basis unknown · not verified: Jev-class decision models is free to use. Basis unknown · not verified: It runs on the web.
Benchmark Heaven builds and maintains Jev-class decision models, and it first shipped in 2026. Development happens publicly on GitHub with 45 stars and 44 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include composite scoring, model rankings, and model comparison. Jev-class decision models is currently in beta.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Composite scoring
- Model rankings
- Model comparison
- Cost analysis
- Calibration scoring
- Speed scoring
Topics: Inferred · not functionally tested
Built with & integrations
- Claude Code
- commit e105a48f8cdb · since Sep 2026
- Next.js
- x-nextjs-cache header · x-nextjs-prerender header · x-powered-by header
- openai
- bgpt- in the HTML
- meta_llama
- llama- in the HTML
- google_gemini
- bgemini- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Sep · 13:03 UTCJevBench: Benchmark for Jev-Class Models seen via Hacker News firehose (Algolia)Source: Hacker News firehose (Algolia) · Open
Frequently asked questions about Jev-class decision models
- What does Jev-class decision models do?
- Inferred · not functionally tested: Jev-class decision models focuses on comparing decision models consistently across capability, calibration, speed, and cost. It is catalogued under Model leaderboards on PulseGate.
- Who is Jev-class decision models for?
- Inferred · not functionally tested: Jev-class decision models is a B2B product built for AI researchers, developers, and organizations evaluating models.
- Is Jev-class decision models free?
- Basis unknown · not verified: Yes — Jev-class decision models is free to use.
- What platforms does Jev-class decision models run on?
- Basis unknown · not verified: Jev-class decision models runs on the web.
- Is Jev-class decision models still maintained?
- PulseGate's liveness check found it on 21 Sep 2026. Its GitHub repository shows 44 commits in the last 90 days.
- What projects are similar to Jev-class decision models?
- Similar projects tracked by PulseGate include Jev Decision Index, Jev API Playground, and Jev AI.Jev Decision IndexJev API PlaygroundJev AI
- Who makes Jev-class decision models?
- Jev-class decision models is developed by Benchmark Heaven.
- How long has Jev-class decision models been around?
- Jev-class decision models first shipped in 2026.
Similar projects
Closest matches by what these projects do