xucian/fbyte-jev-vs-claude

Jev vs Claude — Structured Classification Benchmark. 5 tasks, 5 models, 20 cases each. Comparing Jev (via OpenRouter) against Claude Opus 4.6 and Sonnet 4.6, with and without adaptive thinking.

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updated Sep 18, 2026

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Jev vs Claude. i built the benchmark so you don't have to (r/artificial)

while everyone is yapping about JEV i actually benchmarked it against CLAUDE raw numbers, public repo: [https://github.com/xucian/fbyte-jev-vs-claude](https://github.com/xucian/fbyte-jev-vs-claude)

0

Sep 18, 2026

README

Jev vs Claude — Structured Classification Benchmark

Watch on YouTube

5 tasks, 5 models, 20 cases each. Comparing Jev (via OpenRouter) against Claude Opus 4.6 and Sonnet 4.6 — with and without adaptive thinking.

Models

KeyModelThinking
jevtypesafe/jev-1.13N/A
opusclaude-opus-4-6off
sonnetclaude-sonnet-4-6off
opus-thinkclaude-opus-4-6adaptive
sonnet-thinkclaude-sonnet-4-6adaptive

Tasks

TaskWhat it does
BouncerIntent routing — classify customer messages
Lie DetectorFake review detection, sentiment, PII flagging
OracleBug triage — priority, component, regression
BartenderContent moderation — toxicity type and severity
Customs AgentContract clause classification and risk assessment

Setup

export OPENROUTER_API_KEY=sk-or-v1-...
export ANTHROPIC_API_KEY=sk-ant-...

cd benchmark
pip install -r requirements.txt

Run

python run.py                        # all 5 models, all 5 tasks (25 runs)
python run.py --model jev            # single model
python run.py --model opus-think     # opus with adaptive thinking
python run.py --task bouncer         # single task, all models
python run.py --model sonnet --task oracle   # one model, one task

Results append to results.json — re-running a model/task combo replaces its previous results.

Report

python report.py                     # generates report.html from results.json

Contributors

xucian

1 commits

xucian/fbyte-jev-vs-claude

Jev vs Claude — Structured Classification Benchmark. 5 tasks, 5 models, 20 cases each. Comparing Jev (via OpenRouter) against Claude Opus 4.6 and Sonnet 4.6, with and without adaptive thinking.

HTML

0

1 commits

updated Sep 18, 2026

See the code

See what people are saying (1)

SourceMessageScoreDate

Jev vs Claude. i built the benchmark so you don't have to (r/artificial)

while everyone is yapping about JEV i actually benchmarked it against CLAUDE raw numbers, public repo: [https://github.com/xucian/fbyte-jev-vs-claude](https://github.com/xucian/fbyte-jev-vs-claude)

0

Sep 18, 2026

README

Jev vs Claude — Structured Classification Benchmark

Watch on YouTube

5 tasks, 5 models, 20 cases each. Comparing Jev (via OpenRouter) against Claude Opus 4.6 and Sonnet 4.6 — with and without adaptive thinking.

Models

KeyModelThinking
jevtypesafe/jev-1.13N/A
opusclaude-opus-4-6off
sonnetclaude-sonnet-4-6off
opus-thinkclaude-opus-4-6adaptive
sonnet-thinkclaude-sonnet-4-6adaptive

Tasks

TaskWhat it does
BouncerIntent routing — classify customer messages
Lie DetectorFake review detection, sentiment, PII flagging
OracleBug triage — priority, component, regression
BartenderContent moderation — toxicity type and severity
Customs AgentContract clause classification and risk assessment

Setup

export OPENROUTER_API_KEY=sk-or-v1-...
export ANTHROPIC_API_KEY=sk-ant-...

cd benchmark
pip install -r requirements.txt

Run

python run.py                        # all 5 models, all 5 tasks (25 runs)
python run.py --model jev            # single model
python run.py --model opus-think     # opus with adaptive thinking
python run.py --task bouncer         # single task, all models
python run.py --model sonnet --task oracle   # one model, one task

Results append to results.json — re-running a model/task combo replaces its previous results.

Report

python report.py                     # generates report.html from results.json

Contributors

xucian

1 commits

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