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  <url>
    <loc>https://tpsreport.news/news/mercury-3-diffusion-llm-1m-context</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-19T21:20:56.242Z</news:publication_date>
      <news:title>Inception launches Mercury 3 diffusion LLM: 1M context, 1,068 tokens/sec, $0.20/$0.70 per 1M tokens</news:title>
      <news:keywords>Mercury 3, Inception, diffusion LLM, low latency, 1M context, OpenRouter, AI agents, model release</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/minimax-m3-1-flash-1m-context-open-weights</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-19T18:35:53.919Z</news:publication_date>
      <news:title>MiniMax M3.1 Flash scores 42 on AA Intelligence Index at $0.15/$0.60 per 1M tokens, open weights Oct 23</news:title>
      <news:keywords>MiniMax, M3.1 Flash, open weights, reasoning model, Artificial Analysis, DeepSeek, pricing, China AI</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/kling-4-0-30-second-video-stereo-audio-flash-variant</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-19T17:50:55.132Z</news:publication_date>
      <news:title>Kling AI releases 4.0: 30-second video, stereo audio, 10+ language lip sync, plus a 720p Flash tier</news:title>
      <news:keywords>Kling AI, Kling 4.0, Kling 4.0 Flash, video generation, stereo audio, lip sync, MCP, Wan 3.0</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/timestral-209m-time-series-forecasting</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-19T17:20:57.665Z</news:publication_date>
      <news:title>Mistral releases Timestral-209M, a time series model claiming top zero-shot scores on three benchmarks</news:title>
      <news:keywords>Mistral AI, Timestral, time series, forecasting, foundation model, open weights, GIFT-Eval, fev-bench</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/nvidia-nemotron-3-5-super-vl-120b-a12b-nvfp4</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-19T15:36:02.637Z</news:publication_date>
      <news:title>NVIDIA releases Nemotron 3.5 Super VL NVFP4: 120B-parameter, 12B-active vision-language model with 1M context</news:title>
      <news:keywords>NVIDIA, Nemotron, vision-language, NVFP4, mixture-of-experts, Mamba-2, open-weights, quantization</news:keywords>
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  </url>
  <url>
    <loc>https://tpsreport.news/news/gemini-4-argon-agents-beat-minecraft-autonomously</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
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      <news:publication_date>2026-10-18T12:50:47.798Z</news:publication_date>
      <news:title>Four Gemini 4 Argon agents beat Minecraft autonomously in 27 hours, killing the Ender Dragon at $1,620 cost</news:title>
      <news:keywords>Gemini 4 Argon, Google DeepMind, Minecraft, AI agents, multi-agent systems, autonomous agents, research</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/taste-bench-agent-long-term-decisions-gpt-5-6-sol-59-7</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-18T09:05:49.318Z</news:publication_date>
      <news:title>Taste-Bench: Best AI model scores 59.7% on long-term agent decisions, where random guessing yields 25%</news:title>
      <news:keywords>Taste-Bench, benchmark, AI agents, Microsoft, GPT-5.6 Sol, SWE-bench Pro, Qwen3.6-27B, long-horizon agents</news:keywords>
    </news:news>
  </url>
  <url>
    <loc>https://tpsreport.news/news/tencent-hy-memory-30b-a3b-memory-writer</loc>
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      <news:publication>
        <news:name>TPS — Tokens Per Second</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-18T04:35:56.971Z</news:publication_date>
      <news:title>Tencent releases Hy-Memory-30B-A3B, a 3B-active model that writes agent memory for Mem0 and MemOS</news:title>
      <news:keywords>Tencent, Hunyuan, Hy-Memory, long-term memory, Mem0, MemOS, mixture-of-experts, open weights</news:keywords>
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