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Decider 35B-A3B

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Decider 35B-A3B is an open-weights decision model from Mapika, released 20 September 2026. Its published size is 35.95B parameters. Licence: apache-2.0.

Catalogue identity notes

Exact Decision Index tested engine decider-35b-nvfp4; reported model Decider 35B-A3B. Type: full fine-tune; technique: autoregressive. Published checkpoint/base reference: Mapika/decider-35b-a3b-nvfp4. Comparison entry; no current run command, API price or speed inferred from the benchmark. 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 ↗

Publisher parameter count; includes the served backbone, not just adapter size.

55.4±1.3#154 of 355 decision modelsfrom 42 benchmark results across 1 source

$ how it compares

The decision models ranked either side of Decider 35B-A3B, out of 357 with a score, then more from Mapika.

#	model	score	where	released
154	Tev1-4B-experimental (DecisionBench 0b7becf0) Together	56±2	model files
155	muria (Gemma 4 12B) plantwaterer	55±1	model files
156	Decider 35B-A3B Mapika	55±1	model files	2026-09-20
157	Amber 4B MLukauskas	55±1	model files
158	StartLux-Decision v1.1 2B StartLux	55±1	model files
	more from Mapika
43	Decider 31B (NVFP4) Mapika	66±1	model files	2026-10
85	Decider chat · Gemma-4-31B (decision readout) Mapika	62±1	source code
110	decider-35b-a3b (DecisionBench d9783c58) Mapika	60±2	model files	2026-09-20

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

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #157 of 250 · 7.4% of its score · 6 tests

Beats Trio-Spark DI (9B) here, though they rank higher overall. Trails JevK5 Lite, Gevva E2B, Amber 0.4B here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: API-Bank (accuracy) submitted	56.5% ✎	▁▁▁▁▁▁▁▂▃▂█▂ beats 63/236	easy · avg 70%	▇ 2.3%	sharp · noisy
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	92.2% ✎	▁▂▁▁▁▂▂▄▅▆█▁ beats 93/246	very easy · avg 92%	▇ 1.9%	sharp · maxed out · noisy
Decision Index 0.4.1: Home appliance simulator (case exact accuracy) submitted	23.9% ✎	█▁▁▃▄▄▆▄▁▂▁▃ beats 96/243	medium · avg 37%	▇ 1.2%	sharp · at its level · noisy
Decision Index 0.4.1: When2Call (accuracy) submitted	59.7% ✎	▁▁▁▂▃▅▅▆█▇█▃ beats 66/246	easy · avg 72%	▇ 1.1%	noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	66.3% ✎	▁▁▁▁▁·▁▁▁▄█▁ beats 170/246	medium · avg 60%	▇ 1.0%	blunt · at its level
Decision Index 0.4.1: RouterBench (selected quality (quality objective)) submitted	79.6% ✎	no other model yet		—	failed run: Publisher excludes this protocol because its prompt reveals GPT-4 as the best route. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json

retrieval & classification▁▁▁·▁▁▁▁▃▃█▅ #146 of 258 · 6.5% of its score · 7 tests

Beats Quyet-1.0-Large, Decider chat · Qwen3.6-27B (decision readout), Sieve 9B v2 here, though they rank higher overall. Trails Amber 0.4B, jdi-ptr14-0.8b, vLLM-SR vela3-fast (Vela 3.0, 0.4B) here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: BRIGHT (nDCG@10) submitted	41.7% ✎	▁▁▁▁▁▁▁▂▂▄▇█ beats 113/246	medium · avg 38%	▇ 2.4%	blunt · at its level
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	50.6% ✎	▁▁▁▁▁▁▂▂▃▃█▅ beats 109/246	medium · avg 47%	▇ 2.3%	at its level
Decision Index 0.4.1: HoVer (accuracy) submitted	63.5% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 73/246	easy · avg 74%	▇ 0.6%	blunt
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	66.8% ✎	█▅▅▄▃▂▁▁▁▁·▁ beats 114/245	easy · avg 70%	▇ 0.5%	at its level · noisy
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	94.7% ✎	▁▁▁▁▁▁▁▂▃▆█▄ beats 202/238	easy · avg 83%	▇ 0.4%	sharp · noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	89.8% ✎	▁·▁▁▁▁▁▁▂█▇█ beats 174/238	easy · avg 79%	▇ 0.3%	noisy
Decision Index 0.4.1: SGD/SGD-X (macro-F1) submitted	64.1% ✎	no other model yet		—	failed run: Publisher reports a builder bug exposing dialogue turns after the classified turn; awaiting corrected rerun. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json

language understanding▂▂▂▃▂▅▆▃█▆▄▃ #37 of 256 · 23% of its score · 9 tests

Beats Ainvest-Decision-27B v1.0, H2O Lightning 31B v1.1, Turion Jev 31B here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	78.5% ✎	▁▁▁▂▂▃▃▄▇▇█▄ beats 137/246	easy · avg 74%	▇▇ 5.4%	typical
Decision Index 0.4.1: ANLI (macro-F1) submitted	66.0% ✎	▁▂▃▅▅█▂····▁ beats 132/246	medium · avg 60%	▇▇ 5.3%	at its level
Decision Index 0.4.1: HellaSwag (accuracy) submitted	96.7% ✎	▂▄▂▂▄▇▃▇█▅▃▁ beats 218/246	very easy · avg 85%	▇▇ 5.1%	sharp
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	54.8% ✎	▁·▁·▁▁▂▄▅█▇▄ beats 158/246	medium · avg 44%	▇ 2.3%	at its level
Decision Index 0.4.1: ACOS (per-review F1) submitted	27.2% ✎	▁··▂▃▃▅▇█▇▃▃ beats 154/246	hard · avg 22%	▇ 1.2%	at its level · noisy
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	75.0% ✎	▁▁▁▁▁▁▁▂▂▇▇█ beats 117/246	easy · avg 71%	▇ 1.1%	noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	54.5% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 90/246	medium · avg 62%	▇ 1.0%	at its level
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	63.1% ✎	▁▁▁▁▁▁▁▁▁▃▆█ beats 72/246	easy · avg 66%	▇ 0.8%	at its level · noisy

1 more test

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: FinEntity (macro-F1) submitted	85.2% ✎	▁···▁▁▁▁▃▆█▃ beats 100/246	easy · avg 84%	▇ 0.7%	noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #119 of 247 · 9.4% of its score · 6 tests

Beats Bobcat 1.3 (31B), JEV-35B, AJev lora1 (Gemma 4 26B-A4B) here, though they rank higher overall. Trails vLLM-SR vela3-fast-vision (Vela 3.0, 0.25B), Crivo-400M, Amber 0.4B here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: New Yorker (accuracy) submitted	64.0% ✎	▁▁▂▃▃▃▇▅█▅▃▁ beats 124/246	medium · avg 61%	▇▇ 4.0%	at its level
Decision Index 0.4.1: Humicroedit (accuracy) submitted	62.0% ✎	▁·▁▃▂▂▅█▄▂▁▁ beats 147/246	medium · avg 60%	▇ 1.9%	blunt · at its level
Decision Index 0.4.1: BPoMP (accuracy) submitted	89.1% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 129/246	easy · avg 83%	▇ 1.2%	sharp · noisy
Decision Index 0.4.1: cfcolor (accuracy) submitted	64.9% ✎	▁········▁▇█ beats 178/246	medium · avg 60%	▇ 1.1%	blunt · at its level
Decision Index 0.4.1: POP909-CL (accuracy) submitted	6.7% ✎	▄▅▅▃▆▅▃▅▂▅▃█ beats 83/237	hard · avg 21%	▇ 0.9%	sharp · at its level · noisy
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	46.4% ✎	▁▂▄█▇▅▁▁▄▄▁▁ beats 151/246	medium · avg 47%	▇ 0.3%	blunt · at its level

knowledge & reasoning▁▂▂▂▂▃▃▅▅▆█▂ #98 of 263 · 45% of its score · 14 tests

Beats KnowLine 4B Gen5.5, Jeffan-4B-2010, Senova-4B v2 here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MMLU-Pro (accuracy) submitted	60.5% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 159/246	medium · avg 46%	▇▇▇▇ 10%	sharp · at its level
Decision Index 0.4.1: MMLU (accuracy) submitted	82.6% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 164/246	easy · avg 70%	▇▇▇ 7.0%	sharp
Decision Index 0.4.1: BBH (accuracy) submitted	71.3% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 141/246	easy · avg 66%	▇▇▇ 6.4%	at its level
Decision Index 0.4.1: ARC-Challenge (accuracy) submitted	96.3% ✎	▂▂▂▂▂▂▁▃▄▆█▆ beats 171/246	very easy · avg 90%	▇▇ 3.9%	sharp · maxed out
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	41.5% ✎	▁··▄█▆▆▆▅▅▃▁ beats 115/246	medium · avg 45%	▇ 3.5%	sharp · at its level
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	40.8% ✎	▂▆▅▅▆█▆▃▁··▁ beats 117/246	medium · avg 39%	▇ 3.2%	blunt · at its level
Decision Index 0.4.1: WinoGrande (accuracy) submitted	88.6% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 192/246	easy · avg 78%	▇ 3.1%	typical
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	99.0% ✎	▁▁▂▁▂▂▂▂▃▆█▅ beats 191/246	very easy · avg 96%	▇ 1.9%	sharp · maxed out · noisy

6 more tests

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	34.7% ✎	▁▁▁▁▁▁▁▂▅█▂▁ beats 202/246	hard · avg 22%	▇ 1.4%	at its level
Decision Index 0.4.1: MuSR (accuracy) submitted	61.8% ✎	▁▁▂█▅▄▁▁▁▁▁▁ beats 149/246	medium · avg 60%	▇ 1.2%	blunt · at its level
Decision Index 0.4.1: CRUXEval (accuracy) submitted	59.8% ✎	██▄▃▃▄▁▁···▁ beats 143/246	medium · avg 58%	▇ 1.1%	at its level · noisy
Decision Index 0.4.1: CLadder (accuracy) submitted	66.7% ✎	▁███▆▅▃▃▁▁▁▁ beats 107/246	easy · avg 71%	▇ 1.0%	at its level
Decision Index 0.4.1: ChessBench (accuracy) submitted	10.9% ✎	▄▇▄▄▄▆▄█▄▁▁▁ beats 72/246	hard · avg 16%	▇ 0.7%	blunt
Decision Index 0.4.1: HLE (accuracy) submitted	8.8% ✎	▁▁▃▃▆█▇▅▅▃▁▁ beats 10/246	very hard · avg 13%	▇ 0.0%	blunt

other tests2 not in a task · 8.3% of its score

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: private same skills (equated points)	44.5900 points ✎	▂▂▂▃▃▃▄▅▅▇█▃ beats 121/247	avg 41.206 points	▇▇ 5.4%	blunt
Decision Index 0.4.1: private new domains (equated points)	49.7200 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 157/247	avg 38.861 points	▇ 3.0%	blunt

$ where to run it

Download model files ↗
Published model files verified. This is a verified repository snapshot; the benchmark does not establish an identical weight revision. 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 · Decision Index 0.4.1 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

source	results	share of the score	licence
Decision Index 0.4.1 · submitted; independent execution unverified	42	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 99%	CC BY 4.0
prior · pull toward the middle		▇ 1%
weighted average		= 55.4

not counted (2)

Decision Index 0.4.1	Decision Index 0.4.1: RouterBench (selected quality (quality objective)) [correct]	79.6%	failed run: Publisher excludes this protocol because its prompt reveals GPT-4 as the best route. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json
Decision Index 0.4.1	Decision Index 0.4.1: SGD/SGD-X (macro-F1) [correct]	64.1%	failed run: Publisher reports a builder bug exposing dialogue turns after the classified turn; awaiting corrected rerun. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json

$ improve this page

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data updated 2026-11-03 02:37 UTC · sources and licences · json