DeepSeek V3.2 (Thinking): benchmark results

DeepSeek V3.2 evaluated with thinking enabled. Provider: DeepSeek. Released 2025-12-01. Access: Open.

Aggregate Rating 1673 ± 5, rank #444 of 2168 rated models, from 688 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
AJ-Bench (Agent-as-a-Judge) - Excel86.49F1 (%) on Excel GUI tasks (OSWorld; 19 tasks, 38 trajectorie100
AJ-Bench (Agent-as-a-Judge) - Postgres74.13F1 (%) on Postgres data-system tasks (MCPMark; 18 tasks, 100100
AgentWebBench (Centralized Retrieval) - Deep Research66.54Key Point Recall (%) of long reports on 331 DeepResearchGym 100
AlpsBench - Constraint Following94.19Pass rate (0-1, times 100) of responses to user queries that100
AlpsBench - Emotional Intelligence (Chinese)4Emotional-intelligence score (1 to 5) of responses to Chines100
AlpsBench - Extraction67.42Semantic-matching F1 (0-1, times 100) of the structured memo100
AlpsBench - Retrieval (100 Distractors)97.28Recall (0-1, times 100): share of queries for which the mode100
AlpsBench - Retrieval (1000 Distractors)94.95Recall (0-1, times 100): share of queries for which the mode100
G-IdiomAlign - Gloss-Contrastive Generation (No Gloss)24.66Acc@0.80 (%; the model writes one target-language idiom for 100
G-IdiomAlign - Gloss-Contrastive Generation (With Gloss)29.63Acc@0.80 (%; the model writes one target-language idiom for 100
G-IdiomAlign - Multiple-Choice Equivalence - Chinese Targets69.37Accuracy (%; source idiom to its meaning-equivalent target-l100
G-IdiomAlign - Multiple-Choice Equivalence - English Targets66.7Accuracy (%; source idiom to its meaning-equivalent target-l100

Interactive version: theaggregate.ai/model?slug=deepseek-v3-2-thinking · How It Works · Data refreshed daily, snapshot 2026-10-20.