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    Nate
    Nate@nate_5122d
    📱Qwen💭AI💭Tech
    Flint benchmark performance vs local models

    @nate_512Istg the scale of this release is barely being talked about. A US lab dropped a 40B open-weight coding model that actually tops three major benchmarks against Qwen, Muse, and Gemma. You get over 125 tokens per second on a MacBook or 150+ on RTX Spark hardware without any per-token fees or usage limits. Your personal laptop is finally the real endpoint for this tech.

    Originalbeitrag ansehen

    Flint benchmark performance vs local models

    Foto von @nate_512· Oct 21, 2026· Qwen

    Über dieses Foto

    This is a data visualization of benchmark performance for different AI models. The focus is on bar charts comparing "Flint" against other models like "Qwen", "Muse", and "Gemma" across various benchmarks. The mood is informative and technical, presented in a clean, modern graphic design style. A notable detail is the use of different colored bars and labels to distinguish between model types and their performance scores. The title "Flint benchmark performance" is prominently displayed at the top, with the subtitle "Compared with local models that run on similar hardware". A logo for "recursive" is in the top right corner.

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    Ariana Grande AI videos flagged for copyright2Ariana Grande AI videos flagged for copyrightAmazon AI chips unused warehouse2Amazon AI chips unused warehouseSoMark OXR OCR benchmark resultsSoMark OXR OCR benchmark resultsPeter Steinberger OpenClaw investment2Peter Steinberger OpenClaw investmentSylvester Stallone on AI inevitability2Sylvester Stallone on AI inevitabilityMC Cabelinho Brazil national football team jacket2MC Cabelinho Brazil national football team jacketU.S. banks AI security2U.S. banks AI securityYahoo hiring Marty McFlyYahoo hiring Marty McFlyMidjourney preference questionMidjourney preference questionSpotify removes 50M AI slop tracksSpotify removes 50M AI slop tracks
    Foto
    Nate
    Nate@nate_5122d
    📱Qwen💭AI💭Tech
    Flint benchmark performance vs local models

    @nate_512Istg the scale of this release is barely being talked about. A US lab dropped a 40B open-weight coding model that actually tops three major benchmarks against Qwen, Muse, and Gemma. You get over 125 tokens per second on a MacBook or 150+ on RTX Spark hardware without any per-token fees or usage limits. Your personal laptop is finally the real endpoint for this tech.

    Originalbeitrag ansehen

    Flint benchmark performance vs local models

    Foto von @nate_512· Oct 21, 2026· Qwen

    Über dieses Foto

    This is a data visualization of benchmark performance for different AI models. The focus is on bar charts comparing "Flint" against other models like "Qwen", "Muse", and "Gemma" across various benchmarks. The mood is informative and technical, presented in a clean, modern graphic design style. A notable detail is the use of different colored bars and labels to distinguish between model types and their performance scores. The title "Flint benchmark performance" is prominently displayed at the top, with the subtitle "Compared with local models that run on similar hardware". A logo for "recursive" is in the top right corner.

    Alle Fotos von Qwen ansehenQwen-Wiki lesen

    ?

    Mehr Fotos von Qwen

    Alle Fotos von Qwen ansehen
    Ariana Grande AI videos flagged for copyright2Ariana Grande AI videos flagged for copyrightAmazon AI chips unused warehouse2Amazon AI chips unused warehouseSoMark OXR OCR benchmark resultsSoMark OXR OCR benchmark resultsPeter Steinberger OpenClaw investment2Peter Steinberger OpenClaw investmentSylvester Stallone on AI inevitability2Sylvester Stallone on AI inevitabilityMC Cabelinho Brazil national football team jacket2MC Cabelinho Brazil national football team jacketU.S. banks AI security2U.S. banks AI securityYahoo hiring Marty McFlyYahoo hiring Marty McFlyMidjourney preference questionMidjourney preference questionSpotify removes 50M AI slop tracksSpotify removes 50M AI slop tracks