Why high: an exact fingerprint shared with 5 models.
ByteDance Seed: Seed 2.1 Turbo 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_703ca8e8 |
| How much it can read and write | Reads up to 262,144 tokens at onceOpenRouter's listing shows 235,929 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 | Seed | we measured it, 5 October 2026 |
| Measured twice | The 5 October 2026 reading agreed with the 22 August 2026 reading on every one of the 50 strings clean in both: the tokenizer behind this name held. | 50/50 agree |
Click a row to open the full comparison.
We sent ByteDance Seed: Seed 2.1 Turbo 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: 45 prompt tokens.
Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokensreasoningresponse_formatstopstructured_outputstemperaturetool_choicetoolstop_p
defaults: {}
