AI Desk · AI FingerprintingNew arrival
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Not measured yet | we measured it |
| How its API is set up | Set up identically to 3 other listings, field for field | api_386688aa |
| How much it can read and write | Reads up to 262,144 tokens at once, writes up to 32,768 | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | Novita | we measured it, 5 October 2026 |
Click a row to open the full comparison.
We sent inclusionAI: Ling 3.1 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: 20 prompt tokens.
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {}
