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Decider 31B (NVFP4)

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Decider 31B (NVFP4) is an open-weights decision model from Mapika, released October 2026. Its published size is 32.68B parameters. Licence: apache-2.0.

Catalogue identity notes

Exact Decision Index tested engine decider-31b; reported model Decider 31B (NVFP4). Type: full fine-tune; technique: autoregressive. 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.

66.4±1.4#43 of 355 decision modelsfrom 42 benchmark results across 1 source

$ how it compares

The decision models ranked either side of Decider 31B (NVFP4), out of 357 with a score, then more from Mapika.

#	model	score	where	released
41	Torchcast Decision 27B Torchcast AI	67±1	model files	2026-10-01
42	bosun-v3.1-1.7b (DecisionBench 2ef2d972) Hanno Labs	67±2	model files
43	Decider 31B (NVFP4) Mapika	66±1	model files	2026-10
44	Lychee-27B LycheeAI	66±1	model files
45	Darwin-27B-ZTC FINAL_Bench	66±1	model files
	more from Mapika
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
122	Decider chat · Qwen3.6-27B (decision readout) Mapika	59±1	source code

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

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #25 of 250 · 5.8% of its score · 6 tests

Beats Jeffan-31b-1710, Fastino GLiDE 1.2, KnowLine 31B Gen1 here, though they rank higher overall. Trails Solomon v1.1, Clef-flash, Clef-omni 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	85.6% ✎	▁▁▁▁▁▁▁▂▃▂█▂ beats 182/236	easy · avg 70%	▇ 1.7%	sharp · noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	64.8% ✎	▁▁▁▁▁·▁▁▁▄█▁ beats 127/246	medium · avg 60%	▇ 1.1%	blunt · at its level
Decision Index 0.4.1: Home appliance simulator (case exact accuracy) submitted	100.0% ✎	█▁▁▃▄▄▆▄▁▂▁▃ beats 242/243	medium · avg 37%	▇ 1.1%	sharp · noisy
Decision Index 0.4.1: When2Call (accuracy) submitted	82.5% ✎	▁▁▁▂▃▅▅▆█▇█▃ beats 159/246	easy · avg 72%	▇ 1.0%	noisy
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	97.8% ✎	▁▂▁▁▁▂▂▄▅▆█▁ beats 221/246	very easy · avg 92%	▇ 1.0%	sharp · maxed out · noisy
Decision Index 0.4.1: RouterBench (selected quality (quality objective)) submitted	80.0% ✎	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▁▁▁·▁▁▁▁▃▃█▅ #108 of 258 · 7.7% of its score · 7 tests

Beats AutoTrust-JEV-27B v1.1 here, though they rank higher overall. Trails vLLM-SR vela3-fast (Vela 3.0, 0.4B), crystal-0.8b, Jev-Style 2B v4 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	48.6% ✎	▁▁▁▁▁▁▁▂▂▄▇█ beats 210/246	medium · avg 38%	▇ 3.2%	blunt · at its level
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	54.0% ✎	▁▁▁▁▁▁▂▂▃▃█▅ beats 143/246	medium · avg 47%	▇ 2.8%	at its level
Decision Index 0.4.1: HoVer (accuracy) submitted	78.3% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 134/246	easy · avg 74%	▇ 0.6%	blunt
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	86.3% ✎	█▅▅▄▃▂▁▁▁▁·▁ beats 196/245	easy · avg 70%	▇ 0.6%	noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	80.2% ✎	▁·▁▁▁▁▁▁▂█▇█ beats 98/238	easy · avg 79%	▇ 0.3%	noisy
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	95.5% ✎	▁▁▁▁▁▁▁▂▃▆█▄ beats 211/238	easy · avg 83%	▇ 0.3%	sharp · maxed out · noisy
Decision Index 0.4.1: SGD/SGD-X (macro-F1) submitted	8.9% ✎	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▂▂▂▃▂▅▆▃█▆▄▃ #85 of 256 · 22% of its score · 9 tests

Beats Turion Jev 31B, AJev lm6q (Gemma 4 31B), oenogarum (Gemma 4 31B) here, though they rank higher overall. Trails Sieve 4B, Amber 4B, Decider 35B-A3B here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: ANLI (macro-F1) submitted	75.6% ✎	▁▂▃▅▅█▂····▁ beats 201/246	medium · avg 60%	▇▇ 5.5%	typical
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	84.1% ✎	▁▁▁▂▂▃▃▄▇▇█▄ beats 202/246	easy · avg 74%	▇▇ 5.2%	typical
Decision Index 0.4.1: HellaSwag (accuracy) submitted	93.5% ✎	▂▄▂▂▄▇▃▇█▅▃▁ beats 166/246	very easy · avg 85%	▇ 2.9%	sharp · maxed out
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	71.2% ✎	▁·▁·▁▁▂▄▅█▇▄ beats 237/246	medium · avg 44%	▇ 2.8%	at its level
Decision Index 0.4.1: ACOS (per-review F1) submitted	32.4% ✎	▁··▂▃▃▅▇█▇▃▃ beats 172/246	hard · avg 22%	▇ 1.8%	at its level · noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	79.7% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 222/246	medium · avg 62%	▇ 1.1%	at its level
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	75.6% ✎	▁▁▁▁▁▁▁▂▂▇▇█ beats 122/246	easy · avg 71%	▇ 1.0%	noisy
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	79.6% ✎	▁▁▁▁▁▁▁▁▁▃▆█ beats 170/246	easy · avg 66%	▇ 0.7%	noisy

1 more test

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: FinEntity (macro-F1) submitted	91.1% ✎	▁···▁▁▁▁▃▆█▃ beats 167/246	easy · avg 84%	▇ 0.5%	maxed out · noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #25 of 247 · 10% of its score · 6 tests

Beats Jeffan-31b-1710, vLLM-SR d3-turbo v1.1 (27B), WeMM-JEV-27B here, though they rank higher overall. Trails Clef-omni, Clef, Senova-4B v2 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	78.4% ✎	▁▁▂▃▃▃▇▅█▅▃▁ beats 208/246	medium · avg 61%	▇▇ 4.0%	typical
Decision Index 0.4.1: Humicroedit (accuracy) submitted	65.4% ✎	▁·▁▃▂▂▅█▄▂▁▁ beats 211/246	medium · avg 60%	▇ 2.3%	blunt · at its level
Decision Index 0.4.1: POP909-CL (accuracy) submitted	81.7% ✎	▄▅▅▃▆▅▃▅▂▅▃█ beats 228/237	hard · avg 21%	▇ 1.3%	sharp · at its level · noisy
Decision Index 0.4.1: cfcolor (accuracy) submitted	65.8% ✎	▁········▁▇█ beats 203/246	medium · avg 60%	▇ 1.3%	blunt · at its level
Decision Index 0.4.1: BPoMP (accuracy) submitted	96.8% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 221/246	easy · avg 83%	▇ 0.9%	sharp · maxed out · noisy
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	47.4% ✎	▁▂▄█▇▅▁▁▄▄▁▁ beats 163/246	medium · avg 47%	▇ 0.4%	blunt · at its level

knowledge & reasoning▁▂▂▂▂▃▃▅▅▆█▂ #40 of 263 · 43% of its score · 14 tests

Beats vera-large, KnowLine 26B-A4B Gen2.5, OneJev1.6-27B here, though they rank higher overall. Trails Solar Decide, Clef-omni, GPT-6 Luna Decisions here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MMLU-Pro (accuracy) submitted	72.9% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 225/246	medium · avg 46%	▇▇▇▇▇ 11%	sharp · at its level
Decision Index 0.4.1: BBH (accuracy) submitted	79.4% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 189/246	easy · avg 66%	▇▇ 5.9%	typical
Decision Index 0.4.1: MMLU (accuracy) submitted	87.3% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 211/246	easy · avg 70%	▇▇ 5.9%	sharp
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	50.5% ✎	▂▆▅▅▆█▆▃▁··▁ beats 201/246	medium · avg 39%	▇▇ 4.1%	blunt · at its level
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	86.7% ✎	▁··▄█▆▆▆▅▅▃▁ beats 237/246	medium · avg 45%	▇ 3.7%	sharp · at its level
Decision Index 0.4.1: WinoGrande (accuracy) submitted	85.2% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 161/246	easy · avg 78%	▇ 2.7%	typical
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	25.1% ✎	▁▁▁▁▁▁▁▂▅█▂▁ beats 105/246	hard · avg 22%	▇ 2.1%	at its level
Decision Index 0.4.1: ARC-Challenge (accuracy) submitted	97.0% ✎	▂▂▂▂▂▂▁▃▄▆█▆ beats 197/246	very easy · avg 90%	▇ 1.8%	sharp · maxed out

6 more tests

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MuSR (accuracy) submitted	67.5% ✎	▁▁▂█▅▄▁▁▁▁▁▁ beats 201/246	medium · avg 60%	▇ 1.4%	blunt · at its level
Decision Index 0.4.1: CRUXEval (accuracy) submitted	86.0% ✎	██▄▃▃▄▁▁···▁ beats 219/246	medium · avg 58%	▇ 1.2%	at its level · noisy
Decision Index 0.4.1: ChessBench (accuracy) submitted	23.4% ✎	▄▇▄▄▄▆▄█▄▁▁▁ beats 207/246	hard · avg 16%	▇ 1.0%	blunt
Decision Index 0.4.1: CLadder (accuracy) submitted	80.1% ✎	▁███▆▅▃▃▁▁▁▁ beats 175/246	easy · avg 71%	▇ 1.0%	typical
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	99.1% ✎	▁▁▂▁▂▂▂▂▃▆█▅ beats 207/246	very easy · avg 96%	▇ 0.7%	sharp · maxed out · noisy
Decision Index 0.4.1: HLE (accuracy) submitted	12.0% ✎	▁▁▂▃▆█▇▅▅▃▁▁ beats 106/246	very hard · avg 13%	▇ 0.0%	blunt

other tests2 not in a task · 11% of its score

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: private same skills (equated points)	61.4500 points ✎	▂▂▂▃▃▃▄▅▅▇█▃ beats 215/247	avg 41.206 points	▇▇▇ 6.9%	blunt
Decision Index 0.4.1: private new domains (equated points)	72.9000 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 224/247	avg 38.861 points	▇▇ 3.8%	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		= 66.4

not counted (2)

Decision Index 0.4.1	Decision Index 0.4.1: RouterBench (selected quality (quality objective)) [correct]	80.0%	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]	8.9%	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

Update model information Add a place to run it Add a test result Propose a benchmark Correct a benchmark score Edit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

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