Unverified50% confidenceBenchmarkExact time
In a test of 520 verified comments, Jev 1.13 achieved 94.0% accuracy, detected 175/184 pieces of abusive content, falsely flagged 22/336 clean items, had a median latency of 250ms, and cost $0.05 per thousand calls.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
Valid until: 10/27/2026
Sources
Related Entities
Related Claims
UnverifiedWhen Jev returns a confidence level above 0.95 (approximately 60% of messages), accuracy reaches 95.8%, indicating reliable confidence calibration quality72% similarUnverifiedIn Every team's tests, 12 passages had errors planted in them; Jev caught 6 out of 7 in 0.35 seconds, Claude Fable 5.1 caught all 7 but took 8.83 seconds, and Jev was approximately 580x cheaper.70% similarUnverifiedAplomb 1 在 JevBench Hard 上得分 77.5%,在 MASSIVE 数据集 51 种语言上平均 75% 零样本意图识别准确率67% similarUnverifiedIn the fourth round of fusion experiments, treating JEV as the 9th framework and taking the highest score yielded an overall accuracy of 81.5%, but parity dropped back to 50%.66% similarUnverifiedJev achieved 98.5% accuracy on English comments and 93.4% on the other seven languages, a gap of about 5 percentage points; the probabilities of the nine missed detections all ranged from 0.16 to 0.49, and it correctly identified the language in all 520 cases.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1015387API
curl https://kongchang.com/api/v1/knowledge/claims/1015387MCP
get_claim(id=1015387)