InclusionAI: ling-3.0-flash-sante:free
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.
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Every upstream provider has hit its rate limit. The model comes back automatically once limits lift, usually within hours. Try again in a little while or switch to another model.
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At least one provider of this model uses your inputs for its own purposes, for example to train AI models. Do not enter personal data of third parties or sensitive data. You can object to this use at any time in your account settings or via "Manage consents" in the chat.
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Supported parameters
All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.
| Parameter | Providers | Default |
|---|---|---|
| frequency_penalty | All providers | - |
| include_reasoning | All providers | - |
| logit_bias | All providers | - |
| logprobs | All providers | - |
| max_tokens | All providers | - |
| min_p | All providers | - |
| presence_penalty | All providers | - |
| reasoning | All providers | - |
| repetition_penalty | All providers | - |
| response_format | All providers | - |
| seed | All providers | - |
| stop | All providers | - |
| temperature | All providers | - |
| tool_choice | All providers | - |
| tools | All providers | - |
| top_k | All providers | - |
| top_logprobs | All providers | - |
| top_p | All providers | - |