Ling-2.6-flash
Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency. It delivers performance comparable to state-of-the-art models at a similar scale while significantly reducing token usage across coding, document processing, and lightweight agent workflows.
inclusionai/ling-2.6-flash
- Context
- 262k tokens
- Completion cap
- 32,768
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-04-21
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-2.6-flash",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Ling-2.6-flash?
- Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency. It delivers performance comparable to state-of-the-art models at a similar scale while significantly reducing token usage across coding, document processing, and lightweight agent workflows. Ling-2.6-flash runs on the Geek Hub API (OpenAI-compatible). Model id: inclusionai/ling-2.6-flash.
- Is Ling-2.6-flash free?
- No. Input is $0.0109 per 1M tokens and output is $0.0327 per 1M tokens on Geek Hub (markup included).
- What is the context length of Ling-2.6-flash?
- Ling-2.6-flash has a 262k tokens context window. It supports up to 32,768 completion tokens.
- Does Ling-2.6-flash support tool calling and structured outputs?
- Ling-2.6-flash accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Ling-2.6-flash released?
- Ling-2.6-flash was released on 2026-04-21.
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