Thinking Machines Lab 发布首个开源权重模型 Inkling，975B 参数（41B 激活），支持多模态推理与可调节推理努力度。模型拥有 1M token 上下文窗口，在 Terminal Bench 上以约三分之一的 token 量匹配 Nemotron 3 Ultra。Inkling 支持微调，完整权重已上架 Hugging Face。
Mira Murati's Thinking Machines Lab released Inkling, its first open-weights model.
A 975B-parameter (41B active) open-weights model with multimodal reasoning and adjustable effort.
- A 1M-token context window lets the system process unusually long documents and workflows.
- Trained on 45T tokens spanning text, images, audio, and video from scratch.
- Users can raise reasoning effort for difficult tasks or reduce it for speed.
- The release matched Nemotron 3 Ultra on Terminal Bench using roughly one-third as many tokens.
- Strong Native audio and vision processing. Inkling scored 91.4% on VoiceBench and 82.0% on CharXiv RQ with Python.
- Large-scale reinforcement learning used more than 30M rollouts and steadily improved reasoning scores.
Fine-tuning support arrives through Tinker, while full weights are available through Hugging Face.
Inkling-Small activates 12B parameters and sometimes matches its larger sibling on core evaluations.
Thinking Machines Lab's latest valuation was at $12B, following a $2B seed round. Nvidia later invested an undisclosed amount, while reported $50B talks never produced a confirmed valuation.
Our first model, Inkling. Trained from scratch, weights are open, fine-tunable on Tinker today.在 X 查看被引用的帖子
来源：Rohan Paul · x.com