DeepSeek V2.5: benchmark results

DeepSeek's open 236B MoE (21B active, 128K context) merging DeepSeek-V2-Chat and Coder-V2 into one general+coding model (September 2024). Provider: DeepSeek. Released 2024-09-05. Access: Open.

Aggregate Rating 1586 ± 11, rank #489 of 1656 rated models, from 178 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
OpenCompass Code - Code QA - Chinese (CompassBench 2409)64.7Score (%)100
OpenCompass Code - Code QA - English (CompassBench 2409)65.3Score (%)100
OpenCompass Code - LCBench - English (CompassBench 2409)76.9Score (%)100
OpenCompass Code - LCBench - Chinese (CompassBench 2409)77.8Score (%)96.6
OpenCompass LLM - Code (CompassBench 2409)72.7Score (%)96.6
OpenCompass LLM - Code - Chinese (CompassBench 2409)73.9Score (%)96.6
OpenCompass LLM - Code - English (CompassBench 2409)71.4Score (%)96.6
OpenCompass Language - Dialogue - Chinese (CompassBench 2409)63.5Score (%)96.6
OpenCompass Agent - T-Eval - English (CompassBench 2409)88.1Score (%)94.8
OpenCompass Language - Creation - Chinese (CompassBench 2409)53.4Score (%)93.1
OpenCompass Language - Dialogue - English (CompassBench 2409)54.5Score (%)93.1
OpenCompass Reasoning - Science and Engineering - Chinese (CompassBench 2409)60.6Score (%)93.1

Interactive version: theaggregate.ai/model?slug=deepseek-v2-5 · How It Works · Data refreshed daily, snapshot 2026-10-20.