AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

t2-bench

t2-bench is a benchmark for evaluating agentic tool use capabilities, measuring how well models can select, sequence, and utilize tools to solve complex tasks. It tests autonomous planning and execution in multi-step scenarios.

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 23

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
Gemini 3.1 Pro0.993未收录未收录2026-02-19 · model_announcementLLM Stats
Gemini 3 Flash0.902未收录未收录2025-12-17 · model_announcementLLM Stats
GLM-50.897未收录未收录2026-02-11 · model_announcementLLM Stats
Qwen3.5-397B-A17B0.867未收录未收录2026-02-16 · model_announcementLLM Stats
Gemma 4 31B0.864未收录未收录2026-04-02 · model_announcementLLM Stats
Gemma 4 26B-A4B0.855未收录未收录2026-04-02 · model_announcementLLM Stats
Gemini 3 Pro0.854未收录未收录2025-11-18 · model_announcementLLM Stats
Qwen3.5-35B-A3B0.812未收录未收录2026-02-24 · model_announcementLLM Stats
DeepSeek-V3.20.803未收录未收录2025-12-01 · model_announcementLLM Stats
DeepSeek-V3.2-Speciale0.803未收录未收录2025-12-01 · model_announcementLLM Stats
DeepSeek-V3.2 (Thinking)0.802未收录未收录2025-12-01 · model_announcementLLM Stats
Qwen3.5-4B0.799未收录未收录2026-03-02 · model_announcementLLM Stats
Qwen3.5-122B-A10B0.795未收录未收录2026-02-24 · model_announcementLLM Stats
Qwen3.5-9B0.791未收录未收录2026-03-02 · model_announcementLLM Stats
Qwen3.5-27B0.79未收录未收录2026-02-24 · model_announcementLLM Stats
Qwen3 Max0.748未收录未收录2025-12-15 · model_announcementLLM Stats
K-EXAONE-236B-A23B0.732未收录未收录2025-12-31 · model_announcementLLM Stats
GPT OSS 120B High0.639未收录未收录2025-08-05 · model_announcementLLM Stats
Gemma 4 E4B0.575未收录未收录2026-04-02 · model_announcementLLM Stats
DiffusionGemma 26B-A4B0.562未收录未收录2026-06-10 · model_announcementLLM Stats
Qwen3.5-2B0.488未收录未收录2026-03-02 · model_announcementLLM Stats
Gemma 4 E2B0.294未收录未收录2026-04-02 · model_announcementLLM Stats
Qwen3.5-0.8B0.116未收录未收录2026-03-02 · model_announcementLLM Stats