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Jared PalmerDecision matchup

Kev 0.8Bvs.Kev 4B

Which model makes better decisions?

Kev 4B does better in independent tests, while Kev 0.8B is more popular.

Independent tests
Kev 0.8B0 of 4
Kev 4Bahead4 of 4
Jev Decision Index, Kevala decision benchmark report, Duan et al., General Decision Models: Benchmarking and Insights Beyond Jev, JevAny external decision-suite evaluation score table
Popularity
Kev 0.8Bahead45
Kev 4B23
out of 100
Weights and access
Kev 0.8Bopen, local
Kev 4Bopen, local
Released
Kev 0.8BSeptember 20, 2026
Kev 4BSeptember 20, 2026

Pick Kev 0.8B for

more popular

Pick Kev 4B for

Jev Decision IndexKevala decision benchmark reportDuan et al., General Decision Models: Benchmarking and Insights Beyond JevJevAny external decision-suite evaluation score table

Shared tests

Independent evaluators and leaderboards only, the newest shared snapshot per evaluator. With 95 % ranges a lead counts when they do not overlap; for hit rates, when it holds in a 95 % test. Without any uncertainty figure at most “slightly ahead”.

Jev Decision Index

Kev 4B ahead

Kev 4B is clearly ahead in 20 of 37 subtests and slightly in 12, Kev 0.8B in none. 5 are level.

Home appliances · Decision Index 0.4.1

Kev 0.8B0.0
Kev 4B14.8

88 tasks, as of October 28, 2026

SATA-Bench · Decision Index 0.4.1

Kev 0.8B9.0
Kev 4B28.8

1,650 tasks, as of October 28, 2026

GSM8K · Decision Index 0.4.1

Kev 0.8B19.0
Kev 4B46.5

2,638 tasks, as of October 28, 2026

Show all 37 subtests
SubtestKev 0.8BKev 4BVerdict
Home appliances · Decision Index 0.4.10.014.8Kev 4B ahead
SATA-Bench · Decision Index 0.4.19.028.8Kev 4B ahead
GSM8K · Decision Index 0.4.119.046.5Kev 4B ahead
MMLU-Pro · Decision Index 0.4.122.350.7Kev 4B ahead
New Yorker · Decision Index 0.4.127.852.3Kev 4B ahead
HellaSwag · Decision Index 0.4.142.978.9Kev 4B ahead
When2Call · Decision Index 0.4.143.266.7Kev 4B ahead
BBH · Decision Index 0.4.141.462.5Kev 4B ahead
BPoMP · Decision Index 0.4.147.765.1Kev 4B ahead
WinoGrande · Decision Index 0.4.152.870.2Kev 4B ahead
BFCL · Decision Index 0.4.170.593.1Kev 4B ahead
CRUXEval · Decision Index 0.4.137.748.1Kev 4B ahead
Habermas · Decision Index 0.4.133.442.0Kev 4B ahead
CLadder · Decision Index 0.4.150.563.1Kev 4B ahead
API-Bank · Decision Index 0.4.143.753.3Kev 4B ahead
HoVer · Decision Index 0.4.151.059.7Kev 4B ahead
MuSR · Decision Index 0.4.148.956.3Kev 4B ahead
PhishNChips · Decision Index 0.4.151.755.3Kev 4B ahead
Humicroedit · Decision Index 0.4.150.954.4Kev 4B ahead
cfcolor · Decision Index 0.4.155.457.9Kev 4B ahead
CLINC150 · Decision Index 0.4.115.075.0Kev 4B slightly ahead
iSarcasmEval · Decision Index 0.4.119.946.8Kev 4B slightly ahead
Amazon ESCI · Decision Index 0.4.122.939.7Kev 4B slightly ahead
ContractNLI · Decision Index 0.4.140.964.4Kev 4B slightly ahead
RAGTruth · Decision Index 0.4.146.267.5Kev 4B slightly ahead
ANLI · Decision Index 0.4.133.648.1Kev 4B slightly ahead
NLI4CT · Decision Index 0.4.155.974.6Kev 4B slightly ahead
VAST · Decision Index 0.4.140.652.4Kev 4B slightly ahead
BRIGHT · Decision Index 0.4.131.839.0Kev 4B slightly ahead
FinEntity · Decision Index 0.4.171.487.1Kev 4B slightly ahead
ToolRet · Decision Index 0.4.151.761.0Kev 4B slightly ahead
BANKING77 · Decision Index 0.4.177.682.9Kev 4B slightly ahead
HLE · Decision Index 0.4.113.810.2level
POP909 · Decision Index 0.4.11.51.2level
GPQA Diamond · Decision Index 0.4.133.237.8level
ChessBench · Decision Index 0.4.17.98.9level
ACOS · Decision Index 0.4.19.99.8level

Source · latest October 28, 2026

Kevala decision benchmark report

Kev 4B ahead

Kev 4B is clearly ahead in 1 of 3 subtests and slightly in 1, Kev 0.8B in none. 1 is level.

Kevala semif-authored144 decision accuracy

Kev 0.8B71.1
Kev 4B89.4

95 % ranges 64.6 to 77.3 and 85.9 to 93.1, 1,296 tasks, as of October 23, 2026

Kevala semif-perturbations108 decision accuracy

Kev 0.8B70.7
Kev 4B90.1

95 % ranges 57.4 to 84.0 and 81.2 to 98.8, 972 tasks, as of October 23, 2026

Kevala kevala-authored36 decision accuracy

Kev 0.8B89.8
Kev 4B91.7

95 % ranges 79.6 to 97.2 and 82.4 to 98.2, 324 tasks, as of October 23, 2026

Source · latest October 23, 2026

Duan et al., General Decision Models: Benchmarking and Insights Beyond Jev

Kev 4B ahead

JEVal aida-testc accuracy

Kev 0.8B38.0 %
Kev 4B80.0 %

200 tasks, as of October 22, 2026

Source · latest October 22, 2026

JevAny external decision-suite evaluation score table

Kev 4B ahead

MMLU-Pro, ekzhang external test panel (1,000 questions)

Kev 0.8B23.3
Kev 4B52.4

1,000 tasks, as of October 17, 2026

Source · latest October 17, 2026

Vendor figures

Figures from vendor reports that cover both models. They do not count toward the verdict.

Show 2 vendor figures
FigureSourceKev 0.8BKev 4B
14-public-dataset calibration error, per-dataset average (lower is better)Jared Palmer, Introducing Kev0.100.10
14-public-dataset chance-corrected generalization indexJared Palmer, Introducing Kev23.3038.00

All data side by side

Kev 0.8BKev 4B
KindAdapterAdapter
DeveloperJared PalmerJared Palmer
StatusOpen sourceOpen source
ReleasedSeptember 20, 2026September 20, 2026
Weightsopenopen
Runs locallyyesyes
LicenseApache-2.0 for the adapter and headApache-2.0 for the adapter and head
Popularity (out of 100)4523