DeepSeek V3.1: benchmark results

Switches between direct answers and extended reasoning through its chat template. Additional training targets tool use and agents, including coding and search workflows. Provider: DeepSeek. Released 2025-08-21. Access: Open.

Aggregate Rating 1672 ± 4, rank #264 of 1656 rated models, from 1137 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
CFAgentBench67pass^1 (%)100
ClinTraceBench - Attribution Detection93.8Accuracy (%; task T3, controlled attribution detection: whet100
ClinTraceBench - Cross-Patient Comparison54.3Accuracy (%; task T6, cross-patient comparison: number of di100
CollabBench Cook - Empathy2.67Empathy score (out of 5): empathy (awareness of and adaptati100
CollabBench Cook - Game Score136.53Final game score of the two-agent kitchen team (completed di100
CollabBench Cook - Helpfulness1.79Helpfulness score (out of 5): helpfulness (task focus, proac100
CollabBench Cook - Trustfulness2.97Trustfulness score (out of 5): trustfulness (reliable commit100
EstGraph - Node Count, BA Medium (Simple Walk)26.87Median relative error of the node-count estimate (%; 100 syn100
EstGraph - Node Count, ER Medium (MH Walk)4.5Median relative error of the node-count estimate (%; 100 syn100
EstGraph - Node Count, ER Medium (Simple Walk)6Median relative error of the node-count estimate (%; 100 syn100
EstGraph - Node Count, GRP Medium (Simple Walk)6.4Median relative error of the node-count estimate (%; 100 syn100
Evals for Every Language - Danish (da)80.27Average Score (%)100

Interactive version: theaggregate.ai/model?slug=deepseek-v3-1 · How It Works · Data refreshed daily, snapshot 2026-10-20.