inkling

Inkling is a high-efficiency multimodal MoE model engineered for developers building complex, agentic workflows. While its total parameter count reaches 975B, the sparse architecture utilizes only 41B active parameters per token, offering a massive knowledge base with the inference latency typically associated with much smaller models. For engineers, the primary value proposition lies in its specialized training for tool-use and multi-step reasoning, making it a strong candidate for autonomous agents and automated coding assistants. Unlike dense models that struggle with scaling reasoning capabilities without massive compute overhead, Inkling’s mixture-of-experts approach provides a high performance-to-cost ratio. It supports a massive 1M context window, allowing for the ingestion of entire codebases or extensive documentation in a single prompt. Whether you are integrating it via API for scalable production apps or fine-tuning its open weights for domain-specific logic, Inkling is built to handle high-reasoning density tasks that standard LLMs often fail.