ModelsModels / inclusionAI
Ling-3.0-flash-VL
Open weights · MITby inclusionAIReleased Sep 4, 2026
Ling-3.0-flash-VL is made by inclusionAI. It takes text and images, with a context window of 256K tokens. On Tīrtha it takes text, up to 131,072 tokens.
Start using Ling-3.0-flash-VL in 3 steps
Read the docs- Get an API keyFree to create. It works for every model in the catalogue.Get an API key
- Add creditsPay as you go. Credits work on every model.Add credits
- Point your client at TīrthaAny OpenAI-compatible client works. Use your key and this base URL, and name the model.base_url: "https://api.tirtha.ai/v1" api_key: "YOUR_TIRTHA_KEY" model: "catalog/ling-3.0-flash-vl"
Price
Inputper 1M tokens
Outputper 1M tokens
Cached inputper 1M tokens
The live price, read from billing as this page loads. You pay only for the tokens you use, from your credits.
At a glance
MakerinclusionAI
Acceptstext + image
Context256K tokens
Max output16,384 tokens
LicenceMIT
ReleasedSep 4, 2026
Tested on Tīrtha Bench
Not on the public set yet: we have not run Ling-3.0-flash-VL on the public 800-task tool-call set. The bench shows every model we have run so far.
What it supports
- Text inYes
- Image inYesText only on Tīrtha for now.
- Context window256K tokensUp to 131,072 tokens on Tīrtha.
- ReasoningYesThinks before it answers
- StreamingYes
- Sampling settingsFixed todayThe maker suggests temperature 1, top p 0.95, top k 20. Tīrtha fixes temperature at 0 today.
From the maker
- Model card: inclusionAI/Ling-3.0-flash-VL on Hugging Face
- Last updated by the maker: Sep 24, 2026
Facts here are read from the maker's published card; claims and benchmarks on that card are the maker's own, not measured by Tīrtha.
Licence
Weights: MIT. Read the licence.