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Open-Jev 9B

Other · 9B

Strongest in Decisions (#40 of 85), weakest in Calibration (#50 of 85). Above par in 2 of 3 scopes. Among the models it meets almost everywhere, it finishes behind DeepSeek V4.1 Flash and GPT-6 Luna and ahead of SimpleJev Qwen3.6-35B-A3B and Lev 350M.

§ 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.

Decisions51.1#40/85
Routing & classification52.2#41/85
Calibration50#50/85

§ 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 Open-Jev 9B, left for the other.

Laya 322Mwon 2 · lost 0
Djev Sparkwon 2 · lost 0
Mirrorwon 3 · lost 0
Raw Qwen3 0.6B direct logitswon 3 · lost 0
GLiNER2won 3 · lost 0
GLiNER2 largewon 3 · lost 0
Raw Qwen3 1.7B direct logitswon 3 · lost 0
CLM 8Bwon 3 · lost 0
SimpleJevwon 3 · lost 0
GLiNER2.5 smallwon 3 · lost 0
openJev Verdictwon 3 · lost 0
System Onewon 3 · lost 0
GLiNER2.5 multiwon 3 · lost 0
kev 0.5Bwon 3 · lost 0
Decider 2Bwon 3 · lost 0
kev 4Bwon 3 · lost 0
kev 8Bwon 3 · lost 0
JevActwon 3 · lost 0
Smalljev semantic-v9won 3 · lost 0
kev 0.6Bwon 3 · lost 0
OpenDecisionwon 3 · lost 0
Malkuth 2Bwon 3 · lost 0
Open Alternative Jevwon 3 · lost 0
Open-Jev 2Bwon 3 · lost 0
System One Openwon 3 · lost 0
Raw Phi-4 mini direct logitswon 3 · lost 0
OpenSourceJevwon 3 · lost 0
Malkuth 4Bwon 3 · lost 0
Raw Qwen3 8B direct logitswon 2 · lost 1
Open Jev JSON Canvaswon 2 · lost 1
Raw Qwen3 4B Instruct direct logitswon 2 · lost 1
Verdict Smallwon 2 · lost 1
Alibaba GTE Reranker ModernBERT-basewon 2 · lost 1
Certo v1won 2 · lost 1
Mixedbread mxbai-rerank-base-v2won 2 · lost 1
BAAI bge-reranker-v2-m3won 2 · lost 1
Open Jev Deberta V3 Largewon 2 · lost 1
Spark S1 4B V6won 2 · lost 1
Qwen3.5-0.8B Decision Modelwon 2 · lost 1
Typecastlmwon 2 · lost 1
Layawon 2 · lost 1
openJev Verdict 1.4won 2 · lost 1
Decision Fastwon 2 · lost 1
Bespoke Nimble 9Bwon 2 · lost 1
Jeffwon 2 · lost 1
Lev 350Mwon 2 · lost 1
SimpleJev Qwen3.6-35B-A3Bwon 2 · lost 1
Qwen3.5-9B Jev-like data-mix v2won 1 · lost 2
Vonwon 1 · lost 2
Decision Machine 1won 1 · lost 2
Jobe Qwen3.5-4Bwon 1 · lost 2
Decision 2Bwon 1 · lost 2
Gemini 3.1 Flash Litewon 1 · lost 2
OpenJevwon 1 · lost 2
ZeroEntropy zerank-2won 1 · lost 2
Gemma 4 31Bwon 0 · lost 2
Jev Localwon 0 · lost 3
Qwen3 Reranker 4Bwon 0 · lost 3
Jev Omniwon 0 · lost 3
SemIfwon 0 · lost 3
Metask Jev 4Bwon 0 · lost 3
Standard One 8Bwon 0 · lost 3
Decider 35B A3Bwon 0 · lost 3
Winnow-12B Q8won 0 · lost 3
JEV Qwen3.5-9B Base NVFP4won 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 44.2%JevBench · Calibration 61.8%

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