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JevBench by Benchmark Heaven · v1.4.2.2 · individual system

SimpleJev Qwen3.8-27B

Jev rebuild · by Featherless AI · API endpoint saw sealed item text

JevBench v1.4.2.2 score

34.6

Rank #34 of 91 ranked systems.

28.7 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
51.6
calibration
74.5
speed
71.2
cost
39.5

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, SimpleJev Qwen3.8-27B vs Jev 1.13.0. Intelligence: 51.6 vs 53.1; Calibration: 74.5 vs 76.3; Speed: 71.2 vs 83.3; Cost: 39.5 vs 52.0.50100Intelligence51.6 · 53.1Calibration74.5 · 76.3Speed71.2 · 83.3Cost39.5 · 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, SimpleJev Qwen3.8-27B vs Jev 1.13.0. Easy: 100% vs 100%; Standard: 97% vs 99%; Judge: 93% vs 95%; Hard: 75% vs 74%; Sealed: 36% vs 37%.50100Easy100% · 100%Standard97% · 99%Judge93% · 95%Hard75% · 74%Sealed36% · 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), SimpleJev Qwen3.8-27B vs Jev 1.13.0. Ambiguous / abstain: 57% vs 43%; Judge: 66% vs 54%; Long policy: 46% vs 44%; Multi-hop: 52% vs 64%; Probability: 52% vs 63%; Temporal / numeric: 23% vs 28%; Trade-off: 47% vs 55%; Routing: 100% vs 100%; Trap / adversarial: 88% vs 83%; Paraphrase: 57% vs 64%; Safety judge: 44% vs 38%.50100Ambiguous /abstain57% · 43%Judge66% · 54%Long policy46% · 44%Multi-hop52% · 64%Probability52% · 63%Temporal /numeric23% · 28%Trade-off47% · 55%Routing100% · 100%Trap /adversarial88% · 83%Paraphrase57% · 64%Safety judge44% · 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, SimpleJev Qwen3.8-27B vs Jev 1.13.0. Ambiguous / abstain: 46% vs 30%; Judge: 51% vs 34%; Long policy: 25% vs 28%; Multi-hop: 24% vs 45%; Paraphrase: 57% vs 64%; Probability: 39% vs 50%; Safety judge: 44% vs 38%; Temporal / numeric: 21% vs 29%; Trade-off: 31% vs 38%; Trap / adversarial: 58% vs 42%.50100Ambiguous /abstain46% · 30%Judge51% · 34%Long policy25% · 28%Multi-hop24% · 45%Paraphrase57% · 64%Probability39% · 50%Safety judge44% · 38%Temporal /numeric21% · 29%Trade-off31% · 38%Trap /adversarial58% · 42%
Share correct within each sealed family — system-level aggregates; the items stay private.

Availability and evidence

Openness
Code and weights marked open in the published row
License note
Apache-2.0 (Qwen weights); repository licence not stated
Cost evidence
estimated; the board’s row disclosure contains the published basis.
Endpoint condition
author's public demo endpoint (Featherless Classifier Demo) — not a production service
Note on this row
Author's no-login shared demo, model id recorded verbatim, one request at a time at or below its 2 RPS limit. SimpleJev reads answer-token logits and returns the complete distribution; it does not generate an answer. Speed uses the public-demo x2 load adjustment; cost uses a hosted size-class input price and is not free/100.
Published source
https://github.com/featherless-ai/simple-jev

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.