Provided by OpenRouter
*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...
262,144 tokens$0.021/M$0.063/M*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...
Performance may vary based on query complexity, context length, and task type. Consider using higher-tier models for production-critical applications.
Try these prompts to explore Ling-3.0-flash's capabilities:
Explain quantum computing in simple terms like I'm 10 years old
Write a compelling email asking for a meeting to discuss a project proposal
Help me brainstorm creative solutions for improving team productivity
Tip: Customize these prompts to fit your specific needs and use cases.
Ling-3.0-flash uses tiered credit pricing. Subscribe for a monthly credit allowance, connect your own provider API key (BYOK), or browse lower-cost models on the catalog.
Credit cost per message is shown in the model picker. Economy models typically cost 1 credit; frontier models cost more.
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