Today, Thinking Machines Lab released Inkling, a new multimodal mixture-of-experts model built for token-efficient reasoning, native multimodal understanding, and broad task versatility. Together AI is excited to collaborate with the Thinking Machines Lab team to make Inkling available to developers on our inference platform. Inkling accepts text, image, and audio inputs and produces text outputs through a unified decoder architecture. It supports controllable inference effort, allowing developers to adjust how much reasoning the model applies based on the needs of each task. Its post-training also spans a wide range of capabilities, including scientific reasoning, coding, agentic workflows, forecasting, and calibrated prediction. Under the hood, Inkling introduces several architectural innovations beyond a conventional decoder-only Transformer, including query-conditioned relative attention, short causal convolutions throughout the model, and a mixture-of-experts architecture with a shared expert sink. Together, these components are designed to support strong reasoning and multimodal capabilities while maintaining efficient model execution. …