Ling 3.0 Flash VL
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual agent capabilities. Hybrid instant/reasoning model with tool calling.
inclusionai/ling-3.0-flash-vl
- Context
- 131k tokens
- Completion cap
- 32,768
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-09-10
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "inclusionai/ling-3.0-flash-vl",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Ling 3.0 Flash VL?
- Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual agent capabilities. Hybrid instant/reasoning model with tool calling. Ling 3.0 Flash VL runs on the Geek Hub API (OpenAI-compatible). Model id: inclusionai/ling-3.0-flash-vl.
- Is Ling 3.0 Flash VL free?
- No. Input is $0.0654 per 1M tokens and output is $0.1962 per 1M tokens on Geek Hub (markup included).
- What is the context length of Ling 3.0 Flash VL?
- Ling 3.0 Flash VL has a 131k tokens context window. It supports up to 32,768 completion tokens.
- Does Ling 3.0 Flash VL support tool calling and structured outputs?
- Ling 3.0 Flash VL accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Ling 3.0 Flash VL released?
- Ling 3.0 Flash VL was released on 2026-09-10.
More models from 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 pr
Ling 3.1 FlashLing 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.