Wild Bench
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.
Mistral Large 3 from Mistral AI currently leads the Wild Bench leaderboard with a score of 0.685 across 8 evaluated AI models.
Mistral Large 3 leads with 68.5%, followed by MiniStral 3 (14B Instruct 2512) at 68.5% and Ministral 3 (8B Instruct 2512) at 66.8%.
Progress Over Time
Interactive timeline showing model performance evolution on Wild Bench
Wild Bench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Mistral AI | 675B | 128K | $2.00 / $5.00 | ||
| 1 | Mistral AI | 14B | — | — | ||
| 3 | Mistral AI | 8B | — | — | ||
| 4 | Mistral AI | 24B | — | — | ||
| 5 | Mistral AI | 3B | — | — | ||
| 6 | Mistral AI | 24B | 32K | $0.07 / $0.14 | ||
| 7 |  AI21 Labs | 398B | 256K | $2.00 / $8.00 | ||
| 8 | AI21 Labs | 52B | 256K | $0.20 / $0.40 |
FAQ
Common questions about Wild Bench.
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