AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

LongBench v2

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.

评测信息与证据

来源
LLM Stats
发布者
未收录
评测发布日期
未收录
采集日期
2026-08-17
模态
text

本站保留来源报告的结果,不代表独立复测。请先核对任务版本、评测协议、分数单位和报告日期;不同运行条件不能直接合并为统一排名。

原始资料

报告成绩 17

按来源中的观察顺序展示,顺序不代表排名。日期保留原始精度。

模型数值单位协议报告日期与口径来源
Qwen3.8 Max0.663未收录未收录2026-08-02 · model_announcementLLM Stats
Qwen3.5-397B-A17B0.632未收录未收录2026-02-16 · model_announcementLLM Stats
Qwen3.6 Plus0.62未收录未收录2026-04-02 · model_announcementLLM Stats
Nemotron 3 Ultra (550B A55B)0.619未收录未收录2026-06-04 · model_announcementLLM Stats
MiniMax M1 80K0.615未收录未收录2025-06-16 · model_announcementLLM Stats
MAI-Thinking-10.61未收录未收录2026-06-02 · model_announcementLLM Stats
Kimi K2.50.61未收录未收录2026-01-27 · model_announcementLLM Stats
MiniMax M1 40K0.61未收录未收录2025-06-16 · model_announcementLLM Stats
Qwen3.5-27B0.606未收录未收录2026-02-24 · model_announcementLLM Stats
MiMo-V2-Flash0.606未收录未收录2025-12-16 · model_announcementLLM Stats
Qwen3.5-122B-A10B0.602未收录未收录2026-02-24 · model_announcementLLM Stats
Qwen3.5-35B-A3B0.59未收录未收录2026-02-24 · model_announcementLLM Stats
Qwen3.5-9B0.552未收录未收录2026-03-02 · model_announcementLLM Stats
Qwen3.5-4B0.5未收录未收录2026-03-02 · model_announcementLLM Stats
DeepSeek-V30.487未收录未收录2024-12-25 · model_announcementLLM Stats
Qwen3.5-2B0.387未收录未收录2026-03-02 · model_announcementLLM Stats
Qwen3.5-0.8B0.261未收录未收录2026-03-02 · model_announcementLLM Stats