DeepSeek V2 Chat: benchmark results

DeepSeek V2 Chat is a mixture-of-experts model with 21B active parameters per token, as reported by its publisher. Its published checkpoint context is 131,072 tokens; endpoint limits may differ. Provider: DeepSeek. Released 2024-05-06. Access: Open.

Aggregate Rating 1565 ± 16, rank #563 of 1656 rated models, from 127 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
OpenCompass Math - Primary School - English (CompassBench 2404)87.2Score (%)100
OpenCompass Math - Primary School - Chinese (CompassBench 2405)92Score (%)98.7
Open Portuguese LLM - ASSIN2 STS85.33Pearson Correlation (×100)97.6
OpenCompass Code - LCBench - Chinese (CompassBench 2405)58.1Score (%)97.4
OpenCompass LLM - Math - English (CompassBench 2405)66.5Score (%)97.4
OpenCompass Math - Middle School - English (CompassBench 2405)57.9Score (%)97.4
OpenCompass Code - MBPP - Chinese (CompassBench 2405)69Score (%)97.3
Open Portuguese LLM - ASSIN2 RTE94.4Macro F1 (%)96.2
OpenCompass LLM - Code - Chinese (CompassBench 2404)67.7Score (%)96
OpenCompass Math - Primary School - Chinese (CompassBench 2404)88.3Score (%)96
OpenCompass Subjective - Creation (CompassBench 2404)54.6Score (%)96
OpenCompass Code - LCBench - English (CompassBench 2405)53.7Score (%)94.7

Interactive version: theaggregate.ai/model?slug=deepseek-v2-chat · How It Works · Data refreshed daily, snapshot 2026-10-20.