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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...

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Context
262.144 tokens
Output massimo
32.768 tokens
Architettura
text->text
Tokenizer
Other
Limite di conoscenza
Not provided
Moderato
No
Capacità e modalità

Input → Output

Input
text
Output
text
Ragionamento

Sì

API

Parametri API supportati

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
Provider disponibili

2 provider

Novita

unknown
Context
262K
Output massimo
33K
Input
$0.021
Output
$0.063
Lettura cache
$0.0042
Scrittura cache
Not provided

DeepInfra

bf16
Context
131K
Output massimo
33K
Input
$0.060
Output
$0.180
Lettura cache
$0.012
Scrittura cache
Not provided
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models

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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
Vedi i dettagli del modello →