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.

ChatInclusionai262k tokens$0.0229 / $0.0687 · 1M

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 key

Frequently 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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