inclusionAI: Ling 3.0 Flash
inclusionai/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...
- Context window
- 262,144 tokens
- Input
- text
- Output
- text
- Relay support
- Text & documents
Reference prices & points
Our global markup: 15% · 1 USD = 10,000 points · Price version 0
| Billing unit | OpenRouter / USD | Our reference / USD | Points |
|---|---|---|---|
| Input / 1M tokens | $0.021 | $0.02415 | 241.5 |
| Output / 1M tokens | $0.063 | $0.07245 | 724.5 |
| Cache read / 1M tokens | $0.0042 | $0.00483 | 48.3 |
Actual charge = the OpenRouter request cost × the markup locked for that request. Catalogue rates may be routing references; caching, long context, images and audio are charged when used. Listed prices do not mean every capability is available through this relay.
Catalogue time: 2026-11-11T23:40:38.182Z · Live catalogue
View all upstream price fields
{
"prompt": "0.000000021",
"completion": "0.000000063",
"input_cache_read": "0.0000000042"
}Integration & availability
Use /v1/chat/completions for non-streaming, multi-turn conversations. Models marked for vision accept images; documents can be extracted to text in the workspace. Create a site API key and ensure you have enough points and the service is enabled. Provider availability, context and budget limits apply.