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The LLM benchmark aggregator.

Laya 322M

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§ 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.

Decisions39.5—/85✱
Routing & classification36—/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 Laya 322M, left for the other.

Mirrorwon 2 · lost 0
SimpleJevwon 2 · lost 0
GLiNER2.5 smallwon 2 · lost 0
GLiNER2won 1 · lost 1
GLiNER2 largewon 1 · lost 1
CLM 8Bwon 1 · lost 1
Verdict Smallwon 1 · lost 1
Certo v1won 1 · lost 1
Open Jev JSON Canvaswon 0 · lost 2
openJev Verdictwon 0 · lost 2
System Onewon 0 · lost 2
GLiNER2.5 multiwon 0 · lost 2
kev 0.5Bwon 0 · lost 2
Decider 2Bwon 0 · lost 2
kev 4Bwon 0 · lost 2
kev 8Bwon 0 · lost 2
JevActwon 0 · lost 2
Smalljev semantic-v9won 0 · lost 2
kev 0.6Bwon 0 · lost 2
OpenDecisionwon 0 · lost 2
Spark S1 4B V6won 0 · lost 2
Malkuth 2Bwon 0 · lost 2
Typecastlmwon 0 · lost 2
Open Alternative Jevwon 0 · lost 2
Djev Sparkwon 0 · lost 2
Open-Jev 2Bwon 0 · lost 2
Layawon 0 · lost 2
System One Openwon 0 · lost 2
openJev Verdict 1.4won 0 · lost 2
Decision Fastwon 0 · lost 2
OpenSourceJevwon 0 · lost 2
Bespoke Nimble 9Bwon 0 · lost 2
Jeffwon 0 · lost 2
Malkuth 4Bwon 0 · lost 2
Lev 350Mwon 0 · lost 2
Open-Jev 9Bwon 0 · lost 2
Vonwon 0 · lost 2
Decision Machine 1won 0 · lost 2
Jev Localwon 0 · lost 2
Qwen3 Reranker 4Bwon 0 · lost 2
Jobe Qwen3.5-4Bwon 0 · lost 2
Jev Omniwon 0 · lost 2
SemIfwon 0 · lost 2
Metask Jev 4Bwon 0 · lost 2
Standard One 8Bwon 0 · lost 2
Decision 2Bwon 0 · lost 2
Decider 35B A3Bwon 0 · lost 2
Winnow-12B Q8won 0 · lost 2
Gemini 3.1 Flash Litewon 0 · lost 2
OpenJevwon 0 · lost 2
ZeroEntropy zerank-2won 0 · lost 2
local-jev Qwen3.5-4Bwon 0 · lost 2
Jqvwon 0 · lost 2
reflex 4Bwon 0 · lost 2
Openjev Sglangwon 0 · lost 2
LitJevwon 0 · lost 2
Reflex 27Bwon 0 · lost 2
JevK5 v0.2.0won 0 · lost 2
swanOnewon 0 · lost 2
Decider-4b v2won 0 · lost 2
Cygnetwon 0 · lost 2
JevOnewon 0 · lost 2
SimpleJev Qwen3.8-27Bwon 0 · lost 2
Hopperwon 0 · lost 2
Jev 1.13.0won 0 · lost 2
Instinctwon 0 · lost 2
Gemma 4 31Bwon 0 · lost 2
Djevwon 0 · lost 2
GPT-5.6 Lunawon 0 · lost 2
GPT-6 Lunawon 0 · lost 2
DeepSeek V4.1 Flashwon 0 · lost 2

§ 3 · Sources

Where the numbers come from

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

Decision correct 0%

Badge

PublicAI Index badge for Laya 322M[![PublicAI Index](https://publicai.io/model-index/badge?model=laya-322m)](https://publicai.io/model-index/m/laya-322m)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-09-26 · the full index · JSON API