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Together AI launches Inkling multimodal MoE model with 1M context window

By PulseAugur Editorial · [3 sources] ·

Together AI has launched Inkling, a multimodal Mixture-of-Experts (MoE) model developed by Thinking Machines Lab. This open-weight model boasts 975 billion total parameters with 41 billion active parameters, a 1 million token context window, and native support for text, image, and audio inputs. Inkling is optimized with Together's FlashAttention-4 kernel for efficient reasoning and is now accessible through Together Serverless Inference. AI

IMPACT This multimodal MoE model with a large context window and native multi-modal understanding could set new benchmarks for efficient reasoning and complex task handling.

RANK_REASON Frontier-lab model release with system card.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Together AI launches Inkling multimodal MoE model with 1M context window

COVERAGE [3]

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

    Together AI gives developers a fully managed path to run Inkling without operating the multi-node serving infrastructure behind a model of this scale.

    Together AI gives developers a fully managed path to run Inkling without operating the multi-node serving infrastructure behind a model of this scale. Try it now: https://t.co/IViyYSjDDy

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

    A 975B open-weight MoE with 41B active parameters, 1M context window, and native text, image, and audio understanding. Now available through Together Serverless

    A 975B open-weight MoE with 41B active parameters, 1M context window, and native text, image, and audio understanding. Now available through Together Serverless Inference. https://t.co/OC6Z5X75Fu

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

    Introducing Inkling from Thinking Machines Lab on Together AI.

    Introducing Inkling from Thinking Machines Lab on Together AI. A multimodal MoE model built for token-efficient reasoning, with native text, image, and audio input support. Supports controllable inference effort, optimized with Together’s FlashAttention-4-based kernel. https://t…

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