AI Desk · AI FingerprintingNew arrival
Why moderate: near-exact agreement (49 of 49 strings) with qwen/qwen3.8-27b, short of a full exact signature.
Qwen: Qwen3.8 Omni Flash is Alibaba (Qwen)'s model. Its measured tokenizer sits with the Qwen group, which is evidence that it builds on the Qwen tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Alibaba (Qwen)'s authorship of the model itself.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counted, using the 49 strings that came back reliably | we measured it |
| How its API is set up | Set up identically to 2 other listings, field for field | api_040089fb |
| How much it can read and write | Reads up to 1,000,000 tokens at once, writes up to 131,072 | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | Alibaba | we measured it, 5 October 2026 |
Click a row to open the full comparison.
We sent Qwen: Qwen3.8 Omni Flash 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.
An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 52 prompt tokens.
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {}
