Benchmarks
More
OverviewBenchmaxxingCompareChartsCost vs CapabilityProviders per ModelProvider explorerGatewaysEU & SovereignJev-class modelsImage JevBenchAbout
JevBench by Benchmark Heaven · v1.4.2.2 · individual system

decider-35b-a3b (Mapika)

Jev rebuild · by Mapika

JevBench v1.4.2.2 score

41.2

Rank #21 of 91 ranked systems.

22.1 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
47.2
calibration
65.3
speed
80.8
cost
45.3

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, decider-35b-a3b vs Jev 1.13.0. Intelligence: 47.2 vs 53.1; Calibration: 65.3 vs 76.3; Speed: 80.8 vs 83.3; Cost: 45.3 vs 52.0.50100Intelligence47.2 · 53.1Calibration65.3 · 76.3Speed80.8 · 83.3Cost45.3 · 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, decider-35b-a3b vs Jev 1.13.0. Easy: 100% vs 100%; Standard: 97% vs 99%; Judge: 91% vs 95%; Hard: 65% vs 74%; Sealed: 31% vs 37%.50100Easy100% · 100%Standard97% · 99%Judge91% · 95%Hard65% · 74%Sealed31% · 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), decider-35b-a3b vs Jev 1.13.0. Ambiguous / abstain: 41% vs 43%; Judge: 50% vs 54%; Long policy: 38% vs 44%; Multi-hop: 52% vs 64%; Probability: 38% vs 63%; Temporal / numeric: 22% vs 28%; Trade-off: 50% vs 55%; Routing: 100% vs 100%; Trap / adversarial: 88% vs 83%; Paraphrase: 43% vs 64%; Safety judge: 50% vs 38%.50100Ambiguous /abstain41% · 43%Judge50% · 54%Long policy38% · 44%Multi-hop52% · 64%Probability38% · 63%Temporal /numeric22% · 28%Trade-off50% · 55%Routing100% · 100%Trap /adversarial88% · 83%Paraphrase43% · 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, decider-35b-a3b vs Jev 1.13.0. Ambiguous / abstain: 32% vs 30%; Judge: 29% vs 34%; Long policy: 25% vs 28%; Multi-hop: 32% vs 45%; Paraphrase: 43% vs 64%; Probability: 21% vs 50%; Safety judge: 50% vs 38%; Temporal / numeric: 23% vs 29%; Trade-off: 38% vs 38%; Trap / adversarial: 67% vs 42%.50100Ambiguous /abstain32% · 30%Judge29% · 34%Long policy25% · 28%Multi-hop32% · 45%Paraphrase43% · 64%Probability21% · 50%Safety judge50% · 38%Temporal /numeric23% · 29%Trade-off38% · 38%Trap /adversarial67% · 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
Cost evidence
estimated; the board’s row disclosure contains the published basis.
Endpoint condition
our RunPod GPU (H100 NVL 96 GB), reached over the internet
Note on this row
The author's TypeSafe-compatible server and published FP8 weights, run serially on our H100 NVL. The exhaustive startup batch warmup was skipped; each required serial shape captured lazily before its measured request. Self-host latency receives the standard ×2 + 0.15 s adjustment. Cost uses the closest hosted 35B-A3B input tariff and is not the temporary rental charge.
Published source
https://huggingface.co/Mapika/decider-35b-a3b

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.