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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...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
262,144 tokens
Maximum output
32,768 tokens
Architecture
text->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
Capabilities

Input → Output

Input
text
Output
text
Reasoning

Yes

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

2 providers

Novita

unknown
Context
262K
Maximum output
33K
Input
$0.021
Output
$0.063
Cache read
$0.0042
Cache write
Not provided

DeepInfra

bf16
Context
131K
Maximum output
33K
Input
$0.060
Output
$0.180
Cache read
$0.012
Cache write
Not provided
inclusionai

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Ling 3.0 Flash Fin (free)

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

Context
262K
Input
text
Output
text
Input: FreeOutput: Freeper 1M tokens
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