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JevBench by Benchmark Heaven · v1.4.2.2 · individual system

Instinct (ZooWork, Qwen3.8-27B)

Jev rebuild · by rayrain-srp (ZooWork) · API endpoint saw sealed item text

JevBench v1.4.2.2 score

11.4

Rank #76 of 91 ranked systems.

51.8 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
51.1
calibration
78.7
speed
83.9
cost
24.6

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: Instinct — Jev rebuild · Score 11.4 (#76)
  • 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, Instinct vs Jev 1.13.0. Intelligence: 51.1 vs 53.1; Calibration: 78.7 vs 76.3; Speed: 83.9 vs 83.3; Cost: 24.6 vs 52.0.50100Intelligence51.1 · 53.1Calibration78.7 · 76.3Speed83.9 · 83.3Cost24.6 · 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, Instinct vs Jev 1.13.0. Easy: 99% vs 100%; Standard: 96% vs 99%; Judge: 95% vs 95%; Hard: 76% vs 74%; Sealed: 35% vs 37%.50100Easy99% · 100%Standard96% · 99%Judge95% · 95%Hard76% · 74%Sealed35% · 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), Instinct vs Jev 1.13.0. Ambiguous / abstain: 55% vs 43%; Judge: 62% vs 54%; Long policy: 49% vs 44%; Multi-hop: 55% vs 64%; Probability: 44% vs 63%; Temporal / numeric: 27% vs 28%; Trade-off: 47% vs 55%; Routing: 100% vs 100%; Trap / adversarial: 88% vs 83%; Paraphrase: 57% vs 64%; Safety judge: 50% vs 38%.50100Ambiguous /abstain55% · 43%Judge62% · 54%Long policy49% · 44%Multi-hop55% · 64%Probability44% · 63%Temporal /numeric27% · 28%Trade-off47% · 55%Routing100% · 100%Trap /adversarial88% · 83%Paraphrase57% · 64%Safety judge50% · 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, Instinct vs Jev 1.13.0. Ambiguous / abstain: 43% vs 30%; Judge: 44% vs 34%; Long policy: 25% vs 28%; Multi-hop: 32% vs 45%; Paraphrase: 57% vs 64%; Probability: 32% vs 50%; Safety judge: 50% vs 38%; Temporal / numeric: 21% vs 29%; Trade-off: 31% vs 38%; Trap / adversarial: 58% vs 42%.50100Ambiguous /abstain43% · 30%Judge44% · 34%Long policy25% · 28%Multi-hop32% · 45%Paraphrase57% · 64%Probability32% · 50%Safety judge50% · 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
Marked closed in the published row
License note
proprietary service over Apache-2.0 base weights (Qwen3.8-27B)
Cost evidence
estimated; the board’s row disclosure contains the published basis.
Endpoint condition
free evaluation/demo endpoint (ZooWork Instinct, api.zoowork.ai), reached from a Hetzner server in Germany
Note on this row
Requested in GitHub issue #69. A free evaluation/demo endpoint that speaks TypeSafe's /v1/systemone wire format, so the unchanged typesafe adapter ran it and no mapping of ours was involved; we registered the account and created the key ourselves in their console. The author states frozen Qwen3.8-27B base weights with no fine-tuning, read in one forward pass per question with no autoregressive decoding; the serving stack is not public, so nothing about it could be reviewed and the row rests on the API's own behaviour. Cost is an ESTIMATE: ZooWork publishes no bookable price, so the base model's public reference price is used (OpenRouter model-level qwen/qwen3.8-27b, $0.42/M input, zero output for a direct-logit readout); the author-announced tariff is not used. Classified as a free evaluation/demo endpoint (no SLA, no status page, no terms, pricing 'to be announced'), so the x2 latency adjustment applies. Re-scored when a bookable price is published.
Published source
https://github.com/fstandhartinger/jevbench/issues/69

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.