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JevBench by Benchmark Heaven · v1.4.2.2 · individual system

Qwen3.5-9B Jev-like data-mix v2

Jev rebuild · by jsaurabh

JevBench v1.4.2.2 score

35.2

Rank #32 of 91 ranked systems.

28.1 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
47.4
calibration
61.3
speed
82.0
cost
42.4

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.

The four score axes

Radar: the four score axes, two systemsThe four score axes, Qwen3.5-9B Jev-like data-mix v2 vs Jev 1.13.0. Intelligence: 47.4 vs 53.1; Calibration: 61.3 vs 76.3; Speed: 82.0 vs 83.3; Cost: 42.4 vs 52.0.50100Intelligence47.4 · 53.1Calibration61.3 · 76.3Speed82.0 · 83.3Cost42.4 · 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, Qwen3.5-9B Jev-like data-mix v2 vs Jev 1.13.0. Easy: 100% vs 100%; Standard: 95% vs 99%; Judge: 95% vs 95%; Hard: 60% vs 74%; Sealed: 29% vs 37%.50100Easy100% · 100%Standard95% · 99%Judge95% · 95%Hard60% · 74%Sealed29% · 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), Qwen3.5-9B Jev-like data-mix v2 vs Jev 1.13.0. Ambiguous / abstain: 39% vs 43%; Judge: 53% vs 54%; Long policy: 36% vs 44%; Multi-hop: 45% vs 64%; Probability: 40% vs 63%; Temporal / numeric: 14% vs 28%; Trade-off: 47% vs 55%; Routing: 100% vs 100%; Trap / adversarial: 78% vs 83%; Paraphrase: 57% vs 64%; Safety judge: 31% vs 38%.50100Ambiguous /abstain39% · 43%Judge53% · 54%Long policy36% · 44%Multi-hop45% · 64%Probability40% · 63%Temporal /numeric14% · 28%Trade-off47% · 55%Routing100% · 100%Trap /adversarial78% · 83%Paraphrase57% · 64%Safety judge31% · 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, Qwen3.5-9B Jev-like data-mix v2 vs Jev 1.13.0. Ambiguous / abstain: 32% vs 30%; Judge: 34% vs 34%; Long policy: 23% vs 28%; Multi-hop: 16% vs 45%; Paraphrase: 57% vs 64%; Probability: 29% vs 50%; Safety judge: 31% vs 38%; Temporal / numeric: 16% vs 29%; Trade-off: 42% vs 38%; Trap / adversarial: 67% vs 42%.50100Ambiguous /abstain32% · 30%Judge34% · 34%Long policy23% · 28%Multi-hop16% · 45%Paraphrase57% · 64%Probability29% · 50%Safety judge31% · 38%Temporal /numeric16% · 29%Trade-off42% · 38%Trap /adversarial67% · 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 (adapter code and weights; Qwen3.5-9B base is Apache-2.0)
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 development on the public JevBench set and public-result comparisons; released-data overlap scan found no matches, but 764 gap and 382 replay training rows are unreleased.
Published source
https://huggingface.co/jsaurabh/qwen3.5-9b-jev-data-mix-v2

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.