Introducing Mercury, the first commercial-scale diffusion large language model (Inception blog) 26 Feb 2025
- HumanEval 90
- MBPP 76.6
- EvalPlus 80.4
- MultiPL-E 76.2
- LiveCodeBench (version not stated) 25
- BigCodeBench 45.5
Mercury Coder Small places in the top three on EvalPlus.
Closed weights Flagship
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HumanEval | 90% | #13 of 95 | Model card | |
| MBPP | 76.6% | #26 of 66 | Model card | |
| MultiPL-E | 76.2% | #8 of 18 | Model card | |
| EvalPlus | 80.4% | #3 of 6 | Model card | |
| BigCodeBench | 45.5% | #7 of 11 | Model card | |
| LiveCodeBench | 25% | #64 of 73 | Model card | |
| HumanEval Infilling | 84.8% | #1 of 1 | Model card |
The benchmarks the lab chose to headline, with the scores it gave.
Every result in the longer documents the lab published with it. 1 of them isn't in the launch post.