Unverified50% confidenceBenchmarkExact time
According to officially published data, Nimble-v4-max scores 10.5 points higher than Jev 1.13 on the public Decision Index score.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/15/2026
First Seen
Valid until: 10/29/2026
Sources
Nimble-v4 Released: New SOTA Decision Model, Taking Aim at Jev
producthuntProductHunt Daily10/14/2026
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Related Claims
UnverifiedIn Microsoft's internal evaluation covering 36 benchmarks and nearly 150,000 questions, Decision-1 ranked first with an average accuracy of 83.5%, surpassing Jev 1.13.0 (82.3%), Quyet-1.0-Large (81.9%), and GPT-6 Luna Decisions (79.4%).66% similarUnverifiedpplx-decider-v1-27b achieved an average score of 85.7% across 11 benchmarks, outperforming the comparison target Jev (official data).63% similarUnverifiedd1-3B scores an average of 82.9 on seven public text benchmarks and 48.57 on the public split of Decision Index v0.2.1; these are vendor data and need to be verified by independent evaluation.62% similarUnverifiedThe Top3 configuration achieved an accuracy of 97.148%, a weighted F1 of 97.055%, and an MCC of 0.9675, comprehensively outperforming the Full21 configuration using all 21 metrics (accuracy 95.999%, weighted F1 95.521%, MCC 0.9549).62% similarUnverifiedThe benchmark published by Bespoke Labs covers 33 public datasets and 3,880 manually labeled decisions; Jeff 1.1B achieves the highest average accuracy at 76%, Nimble 9B at 75.7%, Jeff 1.4B at 73.3%, and the 0.8B version at 63.5%.60% similar
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