Why moderate: near-exact agreement (49 of 50 strings) with tencent/hunyuan-a13b-instruct, short of a full exact signature.
Tencent: Hy-MT2-7B 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 | Counted cleanly, and no other model in the catalogue counts the same way | tk_70a22c4f |
| 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, 3 September 2026 |
Click a row to open the full comparison.
We sent Tencent: Hy-MT2-7B 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: 2 prompt tokens.
Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.
Supported parameters
max_completion_tokensmax_tokensresponse_formatstopstructured_outputstemperature
defaults: {}
