Why high: an exact fingerprint shared with 5 models.
ByteDance Seed: Seed-2.0-Mini is ByteDance Seed's model, and its measured tokenizer sits in ByteDance Seed'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 5 other models | tk_25bf52d0 |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_29b131ba |
| How much it can read and write | Reads up to 262,144 tokens at once, writes up to 131,072 | its own listing |
| Whether it thinks before answering | Reasons when asked to, at high, medium, low, minimal, medium by default | its own listing |
| Who served our requests | Seed | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent ByteDance Seed: Seed-2.0-Mini 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: 48 prompt tokens.
Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokensreasoningreasoning_effortresponse_formatstopstructured_outputstemperaturetool_choicetoolstop_p
defaults: {"temperature":null,"top_p":null,"frequency_penalty":null}
