Benchmark

LongBench v2

long_context reasoning general text 多语言

LongBench v2 is a benchmark designed to assess the ability of LLMs to handle long-context problems requiring deep understanding and reasoning across real-world multitasks. It consists of 503 challenging multiple-choice questions with contexts ranging from 8k to 2M words across six major task categories: single-document QA, multi-document QA, long in-context learning, long-dialogue history understanding, code repository understanding, and long structured data understanding.

语言EN
满分1
参评模型1

模型排名

名次 模型 机构 分数 来源
1 DeepSeek-V3 DeepSeek 48.7 来源 ↗