We do use spec decode on all these models (I don't know if the paper is using that but I'm assuming not given the models listed) but not all these models have integrated spec decode stats in the responses. Turns out GLM 5.3 does though so here is a pass on that model.
Language Accept Tokens/step 0/3 steps 3/3 steps Output tok/req
English 76.53% 3.296 9.4% 62.8% 549
Chinese 73.37% 3.201 11.3% 58.2% 754
Russian 73.88% 3.217 11.1% 58.5% 739
French 75.50% 3.265 9.8% 60.9% 631
S. Pashto 70.44% 3.113 12.9% 54.5% 1332
Tigrinya 79.72% 3.391 8.2% 67.8% 3643
Shan 75.64% 3.269 11.2% 63.0% 3675
Tibetan 74.67% 3.240 10.3% 60.2% 2857
Overall 75.75% 3.273 10.3% 62.2% 1772
Thanks. So the acceptance rates are rather similar across languages.