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 to complete more useful work within constrained token, latency, and serving-cost budgets.
inclusionai/ling-3.0-flash
- Context
- 262k tokens
- Completion cap
- 32,768
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-07-23
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",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is 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 to complete more useful work within constrained token, latency, and serving-cost budgets. Ling-3.0-flash runs on the Geek Hub API (OpenAI-compatible). Model id: inclusionai/ling-3.0-flash.
- Is Ling-3.0-flash free?
- No. Input is $0.0229 per 1M tokens and output is $0.0687 per 1M tokens on Geek Hub (markup included).
- What is the context length of Ling-3.0-flash?
- Ling-3.0-flash has a 262k tokens context window. It supports up to 32,768 completion tokens.
- Does Ling-3.0-flash support tool calling and structured outputs?
- Ling-3.0-flash 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 released?
- Ling-3.0-flash was released on 2026-07-23.
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