DeepSeek V3.1 (Thinking): benchmark results

DeepSeek V3.1 evaluated with thinking enabled. Provider: DeepSeek. Released 2025-08-21. Access: Open.

Aggregate Rating 1656 ± 11, rank #503 of 2168 rated models, from 209 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
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
GMP - Dynamic Rules65F1 (x100) of the unsafe judgement averaged over GMP Task B's100
LLM Self-Modeling0.15Skill above dummy predictor (-1 to 1, higher is better; 4096100
LLM Self-Modeling - With Logit Estimation0.12Skill above dummy predictor (-1 to 1, higher is better; 4096100
LLM Stats (Codeforces Rating - DeepSeek V3.1 Div1)2091Codeforces Rating100
LLM2014 Code 2025-09 - C#8.7Score100
LLM2014 Code 2025-09 - TypeScript9.38Score100
OPT-BENCH-NP79Expert-gap closure (EG) at 20 optimization steps with histor100
SuperCLUE General (July 2025) - Agent86.19Score95.7

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