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JevBench by Benchmark Heaven · v1.4.2.2 · individual system

Von (wfzyx, Option-Marker 395M)

Jev rebuild · by wfzyx (Victor Hugo)

JevBench v1.4.2.2 score

27.5

Rank #48 of 91 ranked systems.

35.8 points behind Jev 1.13.0's 63.3.

Where it sits among the 91 ranked systems. The marked tick is Jev 1.13.0 (63.3).

Published axes

intelligence
34.5
calibration
75.7
speed
70.5
cost
77.8

Against Jev 1.13.0

Four radars compare this fixed pair across the score axes, accuracy per tier, and accuracy by family on the hard tier and sealed set. Further out is better on every spoke.

  • A: Von — Jev rebuild · Score 27.5 (#48)
  • B: Jev 1.13.0 — Jev (TypeSafe, closed) · Score 63.3 (#4)

The four score axes

Radar: the four score axes, two systemsThe four score axes, Von vs Jev 1.13.0. Intelligence: 34.5 vs 53.1; Calibration: 75.7 vs 76.3; Speed: 70.5 vs 83.3; Cost: 77.8 vs 52.0.50100Intelligence34.5 · 53.1Calibration75.7 · 76.3Speed70.5 · 83.3Cost77.8 · 52.0
0–100, the values in the table. A label-only system has no calibration (counted as 0).

Accuracy per tier, incl. sealed

Radar: accuracy per tier, incl. sealed, two systemsAccuracy per tier, incl. sealed, Von vs Jev 1.13.0. Easy: 93% vs 100%; Standard: 69% vs 99%; Judge: 68% vs 95%; Hard: 37% vs 74%; Sealed: 28% vs 37%.50100Easy93% · 100%Standard69% · 99%Judge68% · 95%Hard37% · 74%Sealed28% · 37%
Share correct per tier; Sealed = the 308 private decisions, aggregate only.

Current question set by family (hard + sealed)

Radar: current question set by family (hard + sealed), two systemsCurrent question set by family (hard + sealed), Von vs Jev 1.13.0. Ambiguous / abstain: 25% vs 43%; Judge: 50% vs 54%; Long policy: 21% vs 44%; Multi-hop: 32% vs 64%; Probability: 25% vs 63%; Temporal / numeric: 17% vs 28%; Trade-off: 47% vs 55%; Routing: 60% vs 100%; Trap / adversarial: 53% vs 83%; Paraphrase: 7% vs 64%; Safety judge: 38% vs 38%.50100Ambiguous /abstain25% · 43%Judge50% · 54%Long policy21% · 44%Multi-hop32% · 64%Probability25% · 63%Temporal /numeric17% · 28%Trade-off47% · 55%Routing60% · 100%Trap /adversarial53% · 83%Paraphrase7% · 64%Safety judge38% · 38%
Share correct per family across the 220 hard-tier decisions (public and held out) and the 308 sealed decisions of v1.4, pooled; Routing is hard-tier only, Paraphrase and Safety judge sealed only.

Sealed set by family

Radar: sealed set by family, two systemsSealed set by family, Von vs Jev 1.13.0. Ambiguous / abstain: 24% vs 30%; Judge: 46% vs 34%; Long policy: 20% vs 28%; Multi-hop: 39% vs 45%; Paraphrase: 7% vs 64%; Probability: 18% vs 50%; Safety judge: 38% vs 38%; Temporal / numeric: 9% vs 29%; Trade-off: 50% vs 38%; Trap / adversarial: 42% vs 42%.50100Ambiguous /abstain24% · 30%Judge46% · 34%Long policy20% · 28%Multi-hop39% · 45%Paraphrase7% · 64%Probability18% · 50%Safety judge38% · 38%Temporal /numeric9% · 29%Trade-off50% · 38%Trap /adversarial42% · 42%
Share correct within each sealed family — system-level aggregates; the items stay private.

Availability and evidence

Openness
Unknown in the published row
License note
Apache-2.0 code; Apache-2.0 weights (answerdotai/ModernBERT-large base)
Cost evidence
estimated; the board’s row disclosure contains the published basis.
Endpoint condition
re-run on a throwaway RunPod pod with the original recipe; deviations in its manifest
Note on this row
The author disclosed that its temperature calibration map used the 231 public JevBench items; monotonic scaling does not change accuracy. Estimated cost is USD 0.00551 per 1,000 decisions.
Published source
https://github.com/wfzyx/von

From the public v1.4.2.2 aggregate. Scores and ranks can change when a new release is published.

Read the full board and published method. The overall score is a composite, not raw accuracy.