Why high: an exact fingerprint shared with 3 models.
Tencent: Hy-MT2-30B-A3B is Tencent's model, and its measured tokenizer sits in Tencent's own signature group alongside its sibling models. No other maker's measured model shares it so far.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counts every one of the 50 test strings exactly like 3 other models | tk_2b541395 |
| How its API is set up | Set up identically to 1 other listing, field for field | api_797564b9 |
| How much it can read and write | Reads up to 8,192 tokens at once, writes up to 4,096 | its own listing |
| Who served our requests | Tencent | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent Tencent: Hy-MT2-30B-A3B fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 12 prompt tokens.
Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...
Supported parameters
max_completion_tokensmax_tokensresponse_formatstopstructured_outputstemperature
defaults: {}
