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ThinkyMachines releases Inkling-Small multimodal model on Together AI

ThinkyMachines has released Inkling-Small, an open-weight multimodal model available on Together AI. This new model offers performance comparable to Inkling but at a quarter of the size, making it suitable for coding, agents, and general multimodal tasks. Inkling-Small features 276 billion total parameters with 12 billion active, native reasoning across text, image, and audio, and supports up to a 1 million token context window. AI

IMPACT Provides a more efficient, open-weight multimodal model for developers, potentially lowering costs for AI applications.

RANK_REASON New open-weight multimodal model release from a known lab. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

ThinkyMachines releases Inkling-Small multimodal model on Together AI

COVERAGE [2]

  1. X — Together (inference / OSS) TIER_1 (TL) · togethercompute ·

    What Inkling-Small brings:

    What Inkling-Small brings: → 276B total parameters, 12B active → Native reasoning across text, image, and audio → Up to 1M context with variable thinking effort → Inkling-level Terminal-Bench 2.1 performance at about one-fifth the cost

  2. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Inkling-Small is now live on Together AI.

    Inkling-Small is now live on Together AI. @thinkymachines’ new open-weight multimodal model delivers similar performance to Inkling at one-quarter the size, built for coding, agents, and general multimodal work. 🧵 https://t.co/wW8Ode7e3N