DeepSeek V3.1 — benchmark results
DeepSeek V3.1 open hybrid-reasoning MoE model (671B total, 37B active). Provider: DeepSeek. Released 2025-08-21. Access: Open.
Unified ELO 1664 ± 10, rank #333 of 1776 rated models, from 453 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| CFAgentBench | 67 | pass^1 (%) | 100 |
| Exploring Autonomous Agentic Data Engineering | 7.13 | MATS Science (Scratch) (self-reported) | 100 |
| PCB-Bench - Placement Macro QA BERTScore | 83.06 | BERTScore (%) | 100 |
| PCB-Bench - Routing Macro QA BERTScore | 83.1 | BERTScore (%) | 100 |
| PCB-Bench - Routing Micro QA BERTScore | 82.17 | BERTScore (%) | 100 |
| Evals for Every Language - Language cgg | 100 | Average Score (%) | 99.2 |
| Evals for Every Language - Language mak | 100 | Average Score (%) | 99.2 |
| Evals for Every Language - Language da | 76.78 | Average Score (%) | 98.6 |
| Evals for Every Language - Language ff | 83.33 | Average Score (%) | 98.5 |
| Evals for Every Language - Language fy | 100 | Average Score (%) | 98.5 |
| Evals for Every Language - Language tet | 100 | Average Score (%) | 97.7 |
| Evals for Every Language - Language yue | 59.57 | Average Score (%) | 97.1 |
Interactive version: theaggregate.ai/model?slug=deepseek-v3-1 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.