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IFAI

Inkling

Product2 stories

  1. AI modelsReach 51

    Thinking Machines drops a 12B-active model that outsmarts its predecessor

    Thinking Machines just launched Inkling-Small, an open-weights MoE model with 276B total parameters and only 12B active. Operating at roughly a quarter of the compute cost, it actually edges out the flagship Inkling across reasoning and agentic coding benchmarks like Humanity's Last Exam. Why it matters: You get multimodal reasoning and a 1M context window without the heavyweight inference tax.

  2. AI modelsReach 67

    Thinking Machines drops Inkling, a 975B open-weights multimodal MoE

    Thinking Machines just launched Inkling, an open-weights MoE model featuring 975B total and 41B active parameters alongside a 1M token context window. Pretrained across text, images, and audio, it lets developers dial thinking effort up or down to balance cost against latency. Why it matters: Open-source builders finally get a frontier-scale multimodal base designed from the ground up for agentic fine-tuning.