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sysone-bench

instax-dutta/sysone-bench · Homepage

Independent head-to-head benchmark of System One decision models on byte-identical inputs.

Evaluation & Benchmarking0.91Runner-up: Agent Decisions
Automated README summary

Automatically summarized from the README on 9 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An independent benchmark comparing System One decision models (Laya, Jev, Qwen) on the same 1,190 cases and 1,550 typed questions, using one sealed manifest and seed. It verifies byte-identical inputs before scoring, providing a fair cross-vendor comparison.

How it uses Jev

Jev is the closed API reference model at api.typesafe.ai, measured on the same manifest digest and 1,240 evaluation decisions as open models. Its accuracy (0.9065) is the number to beat. The benchmark sends typed questions to Jev via a remote script; the API key is passed on stdin and never touches disk.

Primitives:choicescorenoul

Technique worth stealing

Sealed manifest with byte-identical input verification before scoring, ensuring fair comparison across models.

Try it

Set SYSONE_BENCH_SSH_HOST and SYSONE_BENCH_REMOTE_ROOT, then pipe TYPESAFE_API_KEY to ops/remote/remote_jev.py.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.11
  • Shows a System One patternnot found in the excerpt0.21
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersunclear0.48
  • Is a runnable toolnot found in the excerpt0.07
  • Top-10 learning shortlist signalnot found in the excerpt0.14
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.11Shows a System One pattern0.21Describes handling uncertainty0.03Reports measured numbers0.48Is a runnable tool0.07Top-10 learning shortlist signal0.14Is a replica of the model0.0600.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.6500.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 9 Oct 2026.