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
AlignBench
AlignBench is a comprehensive multi-dimensional benchmark for evaluating Chinese alignment of Large Language Models. It contains 8 main categories: Fundamental Language Ability, Advanced Chinese Understanding, Open-ended Questions, Writing Ability, Logical Reasoning, Mathematics, Task-oriented Role Play, and Professional Knowledge. The benchmark includes 683 real-scenario rooted queries with human-verified references and uses a rule-calibrated multi-dimensional LLM-as-Judge approach with Chain-of-Thought for evaluation.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
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.
Original sources
Reported results 4
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen2.5 72B Instruct | 0.816 | Not recorded | Not recorded | 2024-09-19 · model_announcement | LLM Stats |
| DeepSeek-V2.5 | 0.804 | Not recorded | Not recorded | 2024-05-08 · model_announcement | LLM Stats |
| Qwen2.5 7B Instruct | 0.733 | Not recorded | Not recorded | 2024-09-19 · model_announcement | LLM Stats |
| Qwen2 7B Instruct | 0.721 | Not recorded | Not recorded | 2024-07-23 · model_announcement | LLM Stats |