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
WildBench is an automated evaluation framework that benchmarks large language models using 1,024 challenging, real-world tasks selected from over one million human-chatbot conversation logs. It introduces two evaluation metrics (WB-Reward and WB-Score) that achieve high correlation with human preferences and uses task-specific checklists for systematic evaluation.
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 |
|---|---|---|---|---|---|
| MiniStral 3 (14B Instruct 2512) | 0.685 | Not recorded | Not recorded | 2025-12-04 · model_announcement | LLM Stats |
| Mistral Large 3 | 0.685 | Not recorded | Not recorded | 2025-09-01 · model_announcement | LLM Stats |
| Ministral 3 (8B Instruct 2512) | 0.668 | Not recorded | Not recorded | 2025-12-04 · model_announcement | LLM Stats |
| Mistral Small 3.2 24B Instruct | 0.6533 | Not recorded | Not recorded | 2025-06-20 · model_announcement | LLM Stats |
| Ministral 3 (3B Instruct 2512) | 0.568 | Not recorded | Not recorded | 2025-12-04 · model_announcement | LLM Stats |
| Mistral Small 3 24B Instruct | 0.522 | Not recorded | Not recorded | 2025-01-30 · model_announcement | LLM Stats |
| Jamba 1.5 Large | 0.485 | Not recorded | Not recorded | 2024-08-22 · model_announcement | LLM Stats |
| Jamba 1.5 Mini | 0.424 | Not recorded | Not recorded | 2024-08-22 · model_announcement | LLM Stats |