thinking machines lab's inkling model has made its debut on the openrouter model board, showcasing its potential with 41 billion active parameters out of a staggering 975 billion total. this open-weight multimodal mixture-of-experts model is designed for general-purpose reasoning, coding, and even agentic tool-use systems, making it a versatile addition to the AI landscape.
the stakes are high as inkling enters a competitive field, where performance and adaptability are crucial for developers and businesses looking to leverage advanced AI capabilities. observers will be keen to see how inkling stacks up against other leading models in real-world applications and benchmarks.
however, some may question whether the sheer number of parameters translates to superior performance or if it simply adds complexity without significant gains. keep an eye on how inkling evolves in the coming months as it gains traction in the developer community. @OpenRouterAI
