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Thinking Machines Lab releases Inkling 2 Small MoE model

By PulseAugur Editorial · [1 sources] ·

Thinking Machines Lab has launched Inkling 2 Small, a 594 billion parameter Mixture-of-Experts model with 17 billion active parameters. This multimodal model accepts text and image inputs and supports a 1 million token context window. It demonstrates strong performance on various benchmarks, including SWE-Bench Pro V2 and PerceptionBench, and is available via the Tinker API. AI

IMPACT Sets a new benchmark for multimodal MoE models, potentially influencing agentic coding and vision tasks.

RANK_REASON Frontier-lab model release with system card and performance metrics. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Thinking Machines Lab releases Inkling 2 Small MoE model

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19 / 100
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Significant
Frontier-lab model release with system card and performance metrics. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Thinking Machines Releases Inkling 2 Small, a 594B MoE With 17B Active

    <p>Thinking Machines Lab released Inkling 2 Small, a 594B-parameter MoE with 17B active parameters. It scores 31 on the Artificial Analysis Intelligence Index and runs on Tinker, with Apache 2.0 weights planned.</p> <p>The post <a href="https://www.marktechpost.com/2026/11/05/thi…

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