I
InclusionAI: ling-3.0-flash-vl:free
ling-3.0-flash-vl:free
262.1K context32.8K outReasoningToolsVideoCacheStructured
Released Sep 10, 2026Updated Sep 11, 2026
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.
All providers for this model are busy right now
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.
Request this model on DiscordPricing
Input price
$0.00/ 1M tokens
Output price
$0.00/ 1M tokens
Context window 262.1K tokensCompatible endpoints -Vendor InclusionAI
Uptime
Performance
Loading performance data...
Usage & Ranking
Loading usage...
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 | - |
| 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 | - |
| structured_outputs | All providers | - |
| temperature | All providers | - |
| tool_choice | All providers | - |
| tools | All providers | - |
| top_k | All providers | - |
| top_p | All providers | - |