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JevBench by Benchmark Heaven · v1.4.1 · individual system

GPT-6 Luna (default medium reasoning effort)

This detail uses the public, hash-checked v1.4.1 aggregate. Scores and ranks can change when a new release is published; the page preview remains name-only.

JevBench v1.4.1 score

33.3

Rank #30 of 77 ranked systems.

30.0 points behind Jev 1.13.0's 63.3.

Where it sits among the 77 ranked systems. The marked tick is Jev 1.13.0 (63.3).

Published axes

intelligence
97.4
calibration
93.5
speed
72.6
cost
36.0

Accuracy per tier, incl. sealed

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: Jev 1.13.0 — Jev (TypeSafe, closed) · Score 63.3 (#1)
  • B: GPT-6 Luna — Instruction model, JSON schema · Score 33.3 (#30)

The four score axes

Radar: the four score axes, two systemsThe four score axes, Jev 1.13.0 vs GPT-6 Luna. Intelligence: 53.1 vs 97.4; Calibration: 76.3 vs 93.5; Speed: 83.3 vs 72.6; Cost: 52.0 vs 36.0.50100Intelligence53.1 · 97.4Calibration76.3 · 93.5Speed83.3 · 72.6Cost52.0 · 36.0
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, Jev 1.13.0 vs GPT-6 Luna. Easy: 100% vs 100%; Standard: 99% vs 100%; Judge: 95% vs 97%; Hard: 74% vs 99%; Sealed: 37% vs 95%.50100Easy100% · 100%Standard99% · 100%Judge95% · 97%Hard74% · 99%Sealed37% · 95%
Share correct per tier; Sealed = the 308 private decisions, aggregate only.

Hard tier by family (v1.2 topics)

Radar: hard tier by family (v1.2 topics), two systemsHard tier by family (v1.2 topics), Jev 1.13.0 vs GPT-6 Luna. Adversarial: 100% vs 100%; Ambiguous: 79% vs 100%; Judge: 79% vs 91%; Long policy: 61% vs 100%; Multi-hop: 86% vs 100%; Probability: 80% vs 100%; Routing: 100% vs 100%; Temporal / numeric: 27% vs 100%; Trade-off: 92% vs 100%; Trap: 100% vs 100%.50100Adversarial100% · 100%Ambiguous79% · 100%Judge79% · 91%Long policy61% · 100%Multi-hop86% · 100%Probability80% · 100%Routing100% · 100%Temporal /numeric27% · 100%Trade-off92% · 100%Trap100% · 100%
Share correct within each family of the 47 v1.2 hard-tier decisions (public and held-out).

Sealed set by family

Radar: sealed set by family, two systemsSealed set by family, Jev 1.13.0 vs GPT-6 Luna. Ambiguous / abstain: 30% vs 95%; Judge: 34% vs 90%; Long policy: 28% vs 95%; Multi-hop: 45% vs 97%; Paraphrase: 64% vs 100%; Probability: 50% vs 100%; Safety judge: 38% vs 94%; Temporal / numeric: 29% vs 95%; Trade-off: 38% vs 96%; Trap / adversarial: 42% vs 100%.50100Ambiguous /abstain30% · 95%Judge34% · 90%Long policy28% · 95%Multi-hop45% · 97%Paraphrase64% · 100%Probability50% · 100%Safety judge38% · 94%Temporal /numeric29% · 95%Trade-off38% · 96%Trap /adversarial42% · 100%
Share correct within each sealed family — system-level aggregates; the items stay private.

Availability and evidence

Openness
Unknown in the published row
License note
proprietary API
Cost evidence
measured; the board’s row disclosure contains the published basis.
Endpoint condition
API measurement: sealed item text (no golds) was sent to OpenAI

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