AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
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.
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Gemini 3.1 Pro | 0.993 | Not recorded | Not recorded | 2026-02-19 · model_announcement | LLM Stats |
| Gemini 3 Flash | 0.902 | Not recorded | Not recorded | 2025-12-17 · model_announcement | LLM Stats |
| GLM-5 | 0.897 | Not recorded | Not recorded | 2026-02-11 · model_announcement | LLM Stats |
| Qwen3.5-397B-A17B | 0.867 | Not recorded | Not recorded | 2026-02-16 · model_announcement | LLM Stats |
| Gemma 4 31B | 0.864 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Gemma 4 26B-A4B | 0.855 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Gemini 3 Pro | 0.854 | Not recorded | Not recorded | 2025-11-18 · model_announcement | LLM Stats |
| Qwen3.5-35B-A3B | 0.812 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| DeepSeek-V3.2 | 0.803 | Not recorded | Not recorded | 2025-12-01 · model_announcement | LLM Stats |
| DeepSeek-V3.2-Speciale | 0.803 | Not recorded | Not recorded | 2025-12-01 · model_announcement | LLM Stats |
| DeepSeek-V3.2 (Thinking) | 0.802 | Not recorded | Not recorded | 2025-12-01 · model_announcement | LLM Stats |
| Qwen3.5-4B | 0.799 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |
| Qwen3.5-122B-A10B | 0.795 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-9B | 0.791 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |
| Qwen3.5-27B | 0.79 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3 Max | 0.748 | Not recorded | Not recorded | 2025-12-15 · model_announcement | LLM Stats |
| K-EXAONE-236B-A23B | 0.732 | Not recorded | Not recorded | 2025-12-31 · model_announcement | LLM Stats |
| GPT OSS 120B High | 0.639 | Not recorded | Not recorded | 2025-08-05 · model_announcement | LLM Stats |
| Gemma 4 E4B | 0.575 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| DiffusionGemma 26B-A4B | 0.562 | Not recorded | Not recorded | 2026-06-10 · model_announcement | LLM Stats |
| Qwen3.5-2B | 0.488 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |
| Gemma 4 E2B | 0.294 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Qwen3.5-0.8B | 0.116 | Not recorded | Not recorded | 2026-03-02 · model_announcement | LLM Stats |