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Together AI launches Inkling-Small multimodal model with 1M context

Together AI has launched Inkling-Small, an open-weight multimodal model developed by ThinkyMachines. This model boasts 276 billion parameters with 12 billion active, offering native reasoning across text, image, and audio, and supporting a context window of up to 1 million tokens. Inkling-Small achieves performance comparable to the larger Inkling model but at a significantly reduced cost and size, making it suitable for coding, agentic tasks, and general multimodal applications. AI

IMPACT Provides developers with a production-ready path for a new multimodal model, potentially accelerating adoption in coding and agentic applications.

RANK_REASON The cluster announces the availability of a specific AI model on a platform, which falls under tooling or product integration.

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AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

Together AI launches Inkling-Small multimodal model with 1M context

How we ranked this

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0 / 100
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Tool
The cluster announces the availability of a specific AI model on a platform, which falls under tooling or product integration.
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4 independent sources
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Topics
model release, product
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High
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66 days old
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+1 source(s) since last score
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Full methodology in our editorial standards.

COVERAGE [4]

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

    Together AI gives developers a high-throughput production path for running Inkling-Small on @NVIDIAAI Accelerated Infrastructure across multimodal, coding, and

    Together AI gives developers a high-throughput production path for running Inkling-Small on @NVIDIAAI Accelerated Infrastructure across multimodal, coding, and agentic workloads. Start building: https://t.co/cDoeF5OLHM

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

    Together AI gives developers a high-throughput production path for running Inkling-Small on NVIDIA Accelerated Infrastructure across multimodal, coding, and age

    Together AI gives developers a high-throughput production path for running Inkling-Small on NVIDIA Accelerated Infrastructure across multimodal, coding, and agentic workloads. Start building: https://t.co/BOGutQYlCo

  3. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    NVIDIA has released Molt, a PyTorch-native agentic reinforcement learning framework designed for building and deploying autonomous AI agents at scale. The frame

    NVIDIA has released Molt, a PyTorch-native agentic reinforcement learning framework designed for building and deploying autonomous AI agents at scale. The framework aims to simplify the development of multi-step automation systems. https://www. marktechpost.com/2026/08/01/nv idia…

  4. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Physical AI infrastructure is shifting from compute-centric to layered systems addressing perception, motion, and failure recovery. NVIDIA leads with accelerate

    Physical AI infrastructure is shifting from compute-centric to layered systems addressing perception, motion, and failure recovery. NVIDIA leads with accelerated computing and simulation, but the stack now requires interdependent platforms for data, validation, and continuous lea…