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decider-35b-a3b (DecisionBench d9783c58)

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decider-35b-a3b (DecisionBench d9783c58) is an open-weights decision model from Mapika, released 20 September 2026. Its published size is 34.660610688B parameters. Licence: apache-2.0.

Catalogue identity notes

DecisionBench v1 comparison: Mapika/decider-35b-a3b, revision d9783c58ad4fbff3a6030c8332d29738ec49d22a; decision-model; adapter jev-compatible-server-v1; probability source option-slot-logit-softmax. Kept separate from newer or unpinned Decision Index recipes; standard prompt, not compact. No unverified runtime or OpenRouter price imported. Current repository metadata checked separately; an unpinned alias is not evidence that today’s weights reproduce this historical run.

Model information sources

Release date ↗ · Weights licence ↗ · Parameter count ↗

Published served parameter count; not a RAM or download-size measurement.

60.0±1.8#109 of 355 decision modelsfrom 27 benchmark results across 1 source

$ how it compares

The decision models ranked either side of decider-35b-a3b (DecisionBench d9783c58), out of 357 with a score, then more from Mapika.

#modelscorewhereRAMreleased
108imajev-4b (DecisionBench c9e5f132) mohit6789061±2model files
109AJev lora1 (Gemma 4 26B-A4B) andyzhang23260±1model files
110decider-35b-a3b (DecisionBench d9783c58) Mapika60±2model files2026-09-20
111Cerno 9B v1.1 apertixai60±1model files2026-10-19
112openjev-sglang (DecisionBench 1355db6a) ekzhang60±2model files
more from Mapika
43Decider 31B (NVFP4) Mapika66±1model files2026-10
85Decider chat · Gemma-4-31B (decision readout) Mapika62±1source code
122Decider chat · Qwen3.6-27B (decision readout) Mapika59±1source code

see all decision models · find the ones that fit your machine

$ what it's good at

workflows▁▁▁▂▁▂▂▆█▄▁▁ #28 of 114 · 99% of its score · 27 tests

Beats d1.1 (hosted), Span-02 (Gemma 4 26B-A4B), Mercury Decide (free endpoint) here, though they rank higher overall. Trails StartLux-Decision v1.1 2B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
DecisionBench v1 · action selection (all-request accuracy) submitted64.1% ✎▂▁▂▃▄▃▁▁▂█▇▄ beats 49/56medium · avg 51%▇▇▇▇▇▇▇▇ 21%at its level
DecisionBench v1 · routing (all-request accuracy) submitted76.7% ✎▁▁▁▁▂▂▁▁▁▁▃█ beats 49/56medium · avg 64%▇▇▇▇▇ 13%sharp
DecisionBench v1 · navigation (all-request accuracy) submitted69.0% ✎▁▁·▃▁▁▁▁▁▁▃█ beats 34/56medium · avg 58%▇▇▇▇ 10%sharp · at its level
DecisionBench v1 · record classification (all-request accuracy) submitted49.0% ✎▃▂▁▂▂▂▄▁▃▆██ beats 53/56medium · avg 39%▇▇▇▇ 10%at its level
DecisionBench v1 · verification (all-request accuracy) submitted60.0% ✎▁▁▅▁▃▂▂▁▁▇▇█ beats 38/56medium · avg 56%▇▇▇ 6.6%blunt · at its level
DecisionBench v1 · document record classification (all-request accuracy) submitted54.3% ✎▂▂·▁▂▄▃▆▄█▁▁ beats 44/56medium · avg 46%▇▇ 5.5%at its level
DecisionBench v1 · rubric scoring prioritization (all-request accuracy) submitted50.7% ✎▁▁▅▅▃▃▅█▃▃·▁ beats 44/56medium · avg 45%▇▇ 4.7%at its level
DecisionBench v1 · triage (all-request accuracy) submitted90.0% ✎▁·▁·▂▃▄▃▂█▄▂ beats 52/56easy · avg 78%▇▇ 3.8%sharp
19 more tests
testresultvs the others in its rundifficultycountswhy
DecisionBench v1 · completion assessment (all-request accuracy) submitted94.0% ✎▁▁▂▃▄·▂▁▁▆█▂ beats 51/56very easy · avg 86%▇ 3.3%sharp · maxed out
DecisionBench v1 · review scoring (all-request accuracy) submitted48.0% ✎▁······▂▃▅▇█ beats 24/56medium · avg 52%▇ 3.0%at its level
DecisionBench v1 · content classification (all-request accuracy) submitted80.0% ✎▁····▁▁▁▁▁▁█ beats 48/56easy · avg 73%▇ 3.0%typical
DecisionBench v1 · bounded extraction (all-request accuracy) submitted95.1% ✎▃▃▂·▁▁▁▁▁▁█▅ beats 49/56very easy · avg 86%▇ 2.6%sharp · maxed out · noisy
DecisionBench v1 · retrieval ranking (all-request accuracy) submitted59.0% ✎▁▁·▁▁▂▃▂▃▁▁█ beats 49/56medium · avg 35%▇ 2.5%at its level · noisy
DecisionBench v1 · target selection (all-request accuracy) submitted46.0% ✎▁▁·▁▁▁▃▁▂▁▁█ beats 44/56hard · avg 29%▇ 2.4%at its level · noisy
DecisionBench v1 · risk scoring (all-request accuracy) submitted68.0% ✎▁▁·▁▂▂▁▃▃█▇▃ beats 46/56medium · avg 62%▇ 2.0%blunt · at its level
DecisionBench v1 · reasoning (all-request accuracy) submitted60.4% ✎▂·▁▁▆█▅▃▃▂▁▁ beats 42/56medium · avg 52%▇ 1.3%at its level
DecisionBench v1 · document workflows (all-request accuracy) submitted79.0% ✎█▄▃▁▁▃▃▂▁·▁▁ beats 47/56easy · avg 66%▇ 0.8%blunt · at its level
DecisionBench v1 · retrieval verification (all-request accuracy) submitted88.8% ✎█▁▂▁▁▁▁▁▂▅▃▁ beats 54/56easy · avg 74%▇ 0.7%noisy
DecisionBench v1 · guardrails moderation (all-request accuracy) submitted63.1% ✎▁▁▁▂▆▃▃█···▁ beats 47/56medium · avg 52%▇ 0.6%blunt · at its level · noisy
DecisionBench v1 · safety gating (all-request accuracy) submitted91.0% ✎▂·····▆█▂▃▄▇ beats 36/56easy · avg 77%▇ 0.4%noisy
DecisionBench v1 · document classification (all-request accuracy) submitted2.0% ✎▂▁·▃▁▁▁▄▁▂▂█ beats 7/56hard · avg 21%▇ 0.4%blunt · at its level · noisy
DecisionBench v1 · semantic filtering (all-request accuracy) submitted78.0% ✎▁·▁▁·▁▁█▂▃█▂ beats 31/56easy · avg 71%▇ 0.3%blunt · noisy
DecisionBench v1 · content moderation (all-request accuracy) submitted100.0% ✎▁····▃▅▃▂▂·█ beats 54/56easy · avg 82%▇ 0.2%noisy
DecisionBench v1 · context management (all-request accuracy) submitted90.0% ✎▁·····▁▇▆▁█▃ beats 43/56easy · avg 73%▇ 0.2%blunt · noisy
DecisionBench v1 · entity alignment (all-request accuracy) submitted27.9% ✎▁·▁▄▇▄▅▄▂▁▄█ beats 15/56easy · avg 66%▇ 0.2%at its level · noisy
DecisionBench v1 · function agent skill routing (all-request accuracy) submitted28.6% ✎▃▃▄▅▆▂▅▄▃▄█▃ beats 13/56easy · avg 68%▇ 0.1%blunt · at its level · noisy
DecisionBench v1 · routing triage (all-request accuracy) submitted0.0% ✎█▁···▁·▂▆▅▂▂ beats 13/56medium · avg 42%▇ 0.0%blunt · at its level · noisy

$ where to run it

Download model files ↗
Published model files verified. This is the revision recorded by the benchmark. A local run command and hardware requirements have not been verified for this entry. Source · checked 2026-10-31.

Model repository and documentation: huggingface.co/Mapika ↗

$ how the score was worked out · Hanno Labs DecisionBench v1 r… 99%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
Hanno Labs DecisionBench v1 reviewed results · submitted; independent execution unverified27CC0 1.0
prior · pull toward the middle
weighted average= 60.0

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