DownloadInkling is Thinking Machines Lab’s first open-weight flagship multimodal Mixture-of-Experts model, designed for advanced reasoning, coding, and autonomous agent workflows. It contains 975B total parameters with 41B active parameters per token, balancing frontier-level capability with efficient sparse inference. The model natively processes text, images, audio, and video within a unified architecture and supports an exceptionally large 1 million token context window for long-document reasoning, repository-scale coding, and agentic execution. Trained from scratch on approximately 45 trillion multimodal tokens, Inkling introduces controllable reasoning effort, allowing users to trade off latency and reasoning depth depending on the task. It is optimized for software engineering, tool use, and large-scale autonomous workflows, with strong performance on coding and agent benchmarks.
Features
- 975B-parameter Mixture-of-Experts architecture with 41B active parameters
- Native multimodal support for text, images, audio, and video
- 1M-token context window for ultra-long reasoning tasks
- Trained on approximately 45T multimodal tokens
- Controllable reasoning effort for speed or deeper thinking
- Strong performance in coding and autonomous agent workflows
- Apache 2.0 open-weight release for commercial use
- Compatible with vLLM, SGLang, and modern deployment frameworks
Project Samples
