The LLM benchmark aggregator.

Qwen3.5-0.8B Decision Model

Alibaba · 0.8B

Strongest in Calibration (#33 of 85), weakest in Routing & classification (#71 of 85). Above par in 1 of 3 scopes. Among the models it meets almost everywhere, it finishes behind DeepSeek V4.1 Flash and GPT-6 Luna and ahead of Malkuth 2B and Spark S1 4B V6.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Decisions47.3−26#55/851/1

Calibration54.3−18.4#33/851/1

Routing & classification40.4−33.6#71/851/1

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Qwen3.5-0.8B Decision Model, left for the other.

Laya 322Mwon 2 · lost 0

Mirrorwon 3 · lost 0

Raw Qwen3 0.6B direct logitswon 3 · lost 0

GLiNER2won 3 · lost 0

CLM 8Bwon 3 · lost 0

SimpleJevwon 3 · lost 0

GLiNER2.5 smallwon 3 · lost 0

GLiNER2.5 multiwon 3 · lost 0

Verdict Smallwon 3 · lost 0

Smalljev semantic-v9won 3 · lost 0

Open Jev Deberta V3 Largewon 3 · lost 0

GLiNER2 largewon 2 · lost 1

Raw Qwen3 1.7B direct logitswon 2 · lost 1

Raw Qwen3 8B direct logitswon 2 · lost 1

Open Jev JSON Canvaswon 2 · lost 1

openJev Verdictwon 2 · lost 1

Raw Qwen3 4B Instruct direct logitswon 2 · lost 1

System Onewon 2 · lost 1

kev 0.5Bwon 2 · lost 1

Decider 2Bwon 2 · lost 1

kev 4Bwon 2 · lost 1

kev 8Bwon 2 · lost 1

JevActwon 2 · lost 1

kev 0.6Bwon 2 · lost 1

Alibaba GTE Reranker ModernBERT-basewon 2 · lost 1

OpenDecisionwon 2 · lost 1

Certo v1won 2 · lost 1

Mixedbread mxbai-rerank-base-v2won 2 · lost 1

BAAI bge-reranker-v2-m3won 2 · lost 1

Spark S1 4B V6won 2 · lost 1

Malkuth 2Bwon 2 · lost 1

Typecastlmwon 1 · lost 2

Open Alternative Jevwon 1 · lost 2

Open-Jev 2Bwon 1 · lost 2

Layawon 1 · lost 2

System One Openwon 1 · lost 2

Raw Phi-4 mini direct logitswon 1 · lost 2

Decision Fastwon 1 · lost 2

OpenSourceJevwon 1 · lost 2

Bespoke Nimble 9Bwon 1 · lost 2

Jeffwon 1 · lost 2

Malkuth 4Bwon 1 · lost 2

SimpleJev Qwen3.6-35B-A3Bwon 1 · lost 2

Open-Jev 9Bwon 1 · lost 2

Qwen3.5-9B Jev-like data-mix v2won 1 · lost 2

Jev Localwon 1 · lost 2

Qwen3 Reranker 4Bwon 1 · lost 2

Jobe Qwen3.5-4Bwon 1 · lost 2

Jev Omniwon 1 · lost 2

SemIfwon 1 · lost 2

Metask Jev 4Bwon 1 · lost 2

Standard One 8Bwon 1 · lost 2

Decider 35B A3Bwon 1 · lost 2

Winnow-12B Q8won 1 · lost 2

JEV Qwen3.5-9B Base NVFP4won 1 · lost 2

Gemini 3.1 Flash Litewon 1 · lost 2

OpenJevwon 1 · lost 2

Djev Sparkwon 0 · lost 2

Gemma 4 31Bwon 0 · lost 2

openJev Verdict 1.4won 0 · lost 3

Lev 350Mwon 0 · lost 3

Vonwon 0 · lost 3

Decision Machine 1won 0 · lost 3

Decision 2Bwon 0 · lost 3

ZeroEntropy zerank-2won 0 · lost 3

local-jev Qwen3.5-4Bwon 0 · lost 3

Jqvwon 0 · lost 3

reflex 4Bwon 0 · lost 3

Openjev Sglangwon 0 · lost 3

LitJevwon 0 · lost 3

Reflex 27Bwon 0 · lost 3

JevK5 v0.2.0won 0 · lost 3

swanOnewon 0 · lost 3

Decider-4b v2won 0 · lost 3

Cygnetwon 0 · lost 3

JevOnewon 0 · lost 3

SimpleJev Qwen3.8-27Bwon 0 · lost 3

Hopperwon 0 · lost 3

NInfer Qwen3.8-27B NVFP4won 0 · lost 3

NInfer Qwen3.8-Flash-Next mixedwon 0 · lost 3

Jev 1.13.0won 0 · lost 3

Instinctwon 0 · lost 3

Gemma 4 31B IT (Autoloops)won 0 · lost 3

Djevwon 0 · lost 3

GPT-5.6 Lunawon 0 · lost 3

GPT-6 Lunawon 0 · lost 3

DeepSeek V4.1 Flashwon 0 · lost 3

§ 3 · Sources

Where the numbers come from

1 publication, 2 figures. Every one links to the page it was read from.

JevBench ↗2 measuresread 2026-09-26

JevBench · Intelligence 28.1%JevBench · Calibration 68.2%

Badge

[![PublicAI Index](https://publicai.io/model-index/badge?model=qwen3-5-0-8b-decision-model)](https://publicai.io/model-index/m/qwen3-5-0-8b-decision-model)