Ling-3.0-flash is InclusionAI's model, and its measured tokenizer sits in InclusionAI's own signature group alongside its sibling models. No other maker's measured model shares it so far.
| Signal | Result | Reference |
|---|---|---|
| Tokenizer signature | Exact match with 3 other models | tk_fc5a4585 |
| API surface | No other entry shares this exact contract | api_98bcaeec |
| Context and output | 262,144 context · 32,768 max output | declared |
| Reasoning contract | Optional | declared |
| Serving providers observed | Novita | measured 21 August 2026 |
Click a row to open the full comparison.
An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 20 prompt tokens.
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {}
Cite this page as the evidence record for Ling-3.0-flash: the URL is stable, measurements are dated, and revisions append to the history above. Method: tokenizer fingerprinting, v1, 50 strings. The raw data behind every figure is on the data page.
