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English(EN) Thinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort

Thinking Machines 发布 Inkling,一款高效的多模态 MoE 模型

Thinking Machines 发布了 Inkling,这是一款新的开源、多模态混合专家(MoE)模型,拥有 9750 亿总参数和 410 亿活跃参数。该模型支持 100 万 token 的上下文窗口,并具有可控思考能力,允许用户调整推理成本。Inkling 旨在通过为企业用例提供效率和灵活性来与 AnthropicOpenAI 等成熟的参与者竞争。 AI

影响 Inkling 对效率和可控成本的关注可能会影响企业对更小、更专业模型的采用。

排序理由 一家知名 AI 初创公司发布新模型。

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Thinking Machines 发布 Inkling,一款高效的多模态 MoE 模型

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报道来源 [5]

  1. TLDR AI TIER_1 English(EN) · TLDR ·

    Thinking Machines Inkling 🧠,GPT-Red 🔒,Perplexity 沙盒 🛡️

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

    Thinking Machines Lab 发布 Inkling:一个拥有 9750 亿参数、410 亿活跃参数的开源多模态 MoE 模型,并具备可控的思考力

    <p>Thinking Machines Lab released Inkling on July 15, 2026, its first model trained from scratch. The full weights ship under Apache 2.0. It is a 975B-parameter Mixture-of-Experts transformer with 41B active parameters, a 1M-token context window, and native text, image, and audio…

  3. AI Business TIER_1 English(EN) · Esther Shittu ·

    Thinking Machines 推出广泛但高效的模型

    The AI startup, founded by OpenAI's former CTO, released Inkling, a general-purpose model that keeps token use in mind.

  4. dev.to — LLM tag TIER_1 English(EN) · Prabhakar Chaudhary ·

    Inkling:Thinking Machines Lab 如何围绕可控思维构建了一个 975B 的开放权重模型

    <h1> Inkling: How Thinking Machines Lab Built a 975B Open-Weight Model Around Controllable Thinking </h1> <p>Thinking Machines Lab — the startup founded by former OpenAI CTO Mira Murati — released its first in-house model on July 15, 2026. Called <a href="https://thinkingmachines…

  5. r/LocalLLaMA TIER_1 English(EN) · /u/AloneCoffee4538 ·

    Thinking Machine 首个开源模型 Inkling 的基准测试

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uxgi4c/the_benchmarks_of_thinking_machines_first/"> <img alt="The Benchmarks of Thinking Machine's first open-source model Inkling" src="https://preview.redd.it/auj4lban7gdh1.jpeg?width=640&amp;crop=smart&amp…