Ling-2.6-1T
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast thinking” approach to reduce costs to roughly a quarter of comparable models while maintaining top-tier performance. The model achieves state-of-the-art results on benchmarks such as AIME26 and SWE-bench Verified, and is well suited for advanced coding, complex reasoning, and large-scale agent workflows where both capability and efficiency are critical.
inclusionai/ling-2.6-1t
- Context
- 262k tokens
- Completion cap
- 32,768
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-04-23
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-2.6-1t",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Ling-2.6-1T?
- Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast thinking” approach to reduce costs to roughly a quarter of comparable models while maintaining top-tier performance. The model achieves state-of-the-art results on benchmarks such as AIME26 and SWE-bench Verified, and is well suited for advanced coding, complex reasoning, and large-scale agent workflows where both capability and efficiency are critical. Ling-2.6-1T runs on the Geek Hub API (OpenAI-compatible). Model id: inclusionai/ling-2.6-1t.
- Is Ling-2.6-1T free?
- No. Input is $0.0818 per 1M tokens and output is $0.6813 per 1M tokens on Geek Hub (markup included).
- What is the context length of Ling-2.6-1T?
- Ling-2.6-1T has a 262k tokens context window. It supports up to 32,768 completion tokens.
- Does Ling-2.6-1T support tool calling and structured outputs?
- Ling-2.6-1T accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Ling-2.6-1T released?
- Ling-2.6-1T was released on 2026-04-23.
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