Unverified50% confidenceBenchmarkExact time
DeepSeek V4.1 Flash 1017 rose from 31.2 to 42.3 on Terminal Bench 4.0, from 20.2 to 42.3 on Program Bench, from 31.8 to 35.4 on Agent's Last Exam, from 64.6 to 72.1 on Apex Bench, from 78.9 to 83.0 on Chartography, and from 89.6 to 92.5 on Baby Vision.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/18/2026
First Seen
Valid until: 11/1/2026
Sources
AI Daily Brief: DeepSeek V4.1 Update, Google Wet Lab, and New AI Export Rules
bilibili擂玩AI10/17/2026
Related Entities
Related Claims
UnverifiedDeepSeek-V4.1-Flash-1017's score on Terminal-Bench 4.0 rose from 31.2 for V4.1-Flash to 42.3.76% similarUnverified盘古2.0 Flash在Tau2-Bench客服工具调用测试中得分88.0,在WildCloudBench中得分41.5超过397B模型的34.571% similarUnverifiedOn the Frontier Code programming benchmark, the old model scored 34.4%, while Gemini 3.7 Flash improved to 43.6%.65% similarUnverifiedd1-3B averages 74.1 across 11 image benchmarks, versus 73.9 for LFM2.5-VL-3B; on VL-RewardBench d1-3B scores 65.0, far ahead of LFM2.5-VL-3B's 50.9, but it lags on CV-Bench (82.1 vs 87.6), VisualWebBench (71.4 vs 78.3), and POPE (88.5 vs 90.1).64% similarUnverified盘古2.0 Flash在SWE-Bench Verified工程实战测试中得分仅63.1,在所有对比模型中垫底63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1059871API
curl https://kongchang.com/api/v1/knowledge/claims/1059871MCP
get_claim(id=1059871)