Why moderate: near-exact agreement (49 of 50 strings) with tencent/hy-mt2-7b, short of a full exact signature.
Tencent: Hunyuan A13B Instruct 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_856fd527 |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_ec0baa86 |
| How much it can read and write | Reads up to 131,072 tokens at onceOpenRouter's listing shows 117,964 output tokens, which is 90% of the context window, the figure it carries where the provider declares no maximum. | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | SiliconFlow | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent Tencent: Hunyuan A13B Instruct 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.
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokensreasoningresponse_formatstructured_outputstemperaturetop_ktop_p
defaults: {}
