Complete Guide to Thinking Machines Inkling

Thinking Machines Lab has unveiled Inkling, its first general-purpose open-weights foundation model. It is a multimodal MoE model with 975B parameters, 41B active parameters, and a 1M-token context window. Rather than chasing benchmark supremacy, Inkling is designed as a customizable foundation for multimodal reasoning, agentic AI, coding, tool use, audio and vision tasks, and domain-specific fine-tuning. In this article, we explore Inkling’s architecture, training, capabilities, benchmarks, pricing, deployment options, fine-tuning workflow, and enterprise readiness. What is Thinking Machines Inkling? How to Access Inkling?Option 1: Tinker PlaygroundOption 2: Hugging FaceOption 3: Hosted Inference ProvidersOption 4: Self-Hosted Inference What is Thinking Machines Inkling? Inkling is a general-purpose, multimodal, open-weights AI model from Thinking Machines Lab. It processes text, images, and audio, and generates text outputs. Released on July 15, 2026, Inkling is available under the Apache 2.0 license, allowing commercial use, modification, and redistribution. Rather than offering a fixed API-only model, Thinking Machines designed Inkling to be customized and fine-tuned for specific domains, workflows, and enterprise needs. Transformers, SGLang, vLLM, TokenSpeed, llama.cpp…