MarkTechPost
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16 hours ago
Thinking Machines Lab released Inkling, a 975-billion-parameter open-weights multimodal mixture-of-experts model with 41 billion active parameters and a 1-million-token context window. The model was trained on 45 trillion tokens of text, images, audio, and video, and features a controllable thinking-effort mechanism that allows users to trade inference cost for performance, achieving Terminal Bench 2.1 parity with Nemotron 3 Ultra using one-third the tokens. Inkling is available on Hugging Face and hosted platforms, enabling deployment of cost-tuned agentic systems and multimodal applications across voice, vision, and text inputs.
Together AI
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1 day ago
Thinking Machines Lab released Inkling, a 975-billion-parameter mixture-of-experts model with 40B active parameters that accepts text, image, and audio inputs for multimodal reasoning tasks. Inkling is available on Together AI's inference platform starting today with a 1M token context window and adjustable inference effort settings. Developers can now access a unified multimodal model through a single API endpoint that supports reasoning, coding, forecasting, and agentic workflows without managing their own infrastructure.
Hugging Face Blog
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1 day ago
Thinking Machines released Inkling, an open-source multimodal language model with 1 trillion parameters that accepts images, text, and audio inputs natively. The model has 975 billion total parameters with 41 billion active at any time, supports a 1 million token context window, and was trained on 45 trillion tokens across multiple modalities. Inkling is available on Hugging Face with immediate support in transformers, SGLang, vLLM, and llama.cpp, enabling developers to build multimodal reasoning applications through fine-tuning or remote inference.
