inclusionAI
inclusionAI: Ling 3.0 Flash
inclusionai/ling-3.0-flash
*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 to complete more useful work within constrained token, latency, and serving-cost budgets.
Input
$0.021
/ 1M tokens
Output
$0.063
/ 1M tokens
Context window
262.14K
tokens
Limits
Context
262,144
tokens
Max output
32,768
13% of the context window
Parameters
127,486,405,600
Model facts
Author
inclusionAI
Tokenizer
Other
Modality
Text -> Text
License
MIT
Created
Jul 23, 2026
Hugging Face
inclusionAI/Ling-3.0-flash
Publication status
Hugging Face: verifiedLicense: publishedParameter count: published
Modalities
Input · TextOutput · Text
Generation controls
Frequency penaltyInclude reasoningLogit biasLogprobsMax tokensMin pPresence penaltyReasoningRepetition penaltyResponse formatSeedStopTemperatureTool choiceToolsTop kTop logprobsTop p
Capability scores
19.3
Agentic index
Better than 50% of models compared
50.6
Coding index
Better than 50% of models compared
20.1
Intelligence index
Better than 46% of models compared