Inkling from Thinking Machines is now available on AI Gateway

According to the **Vercel Blog**, **Thinking Machines** has released **Inkling**, which is now accessible via **AI Gateway**. Developers can connect to the model within their applications by setting the model parameter to **thinkingmachines/inkling** using the **AI SDK**.

Technically, **Inkling** is structured as a broad generalist model rather than a system specialized for a single domain. Its training covers seven distinct areas: **agentic**, **reasoning**, **coding**, **instruction-following**, **factuality**, **vision**, and **audio** tasks. Product mechanics also include **controllable thinking effort**, allowing users to programmatically adjust the model's reasoning intensity.

For software engineers and builders, deploying **Inkling** through **AI Gateway** streamlines developer infrastructure by combining general reasoning, code generation, visual processing, and audio capabilities into one model endpoint. The **controllable thinking effort** capability allows engineers using the **AI SDK** to tune how much computational effort the model devotes to specific tasks.

Within the broader market context, hosting **Inkling** on **AI Gateway** adds a multi-modal generalist option to developer platform offerings. Rather than requiring distinct single-purpose services for vision, speech, or logic, unified models provide a single platform target for multi-step agentic and analytical workloads.

To implement the model, update your **AI SDK** setup by setting the model identifier to **thinkingmachines/inkling**. Engineers should test their **agentic**, **coding**, and **reasoning** implementations while evaluating different **controllable thinking effort** settings to balance task complexity and runtime output.

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