{
  "title": "dropkit.contents",
  "home": "https://dropkit-contents.pages.dev/",
  "items": [
    {
      "id": "drop-2026-09-03-kr-pm",
      "title": "Gemini 3.7 Flash $0.75/$3.75, Opus 4.6 $5/$25, Grok 4.6 $2/$6",
      "lane": "scoreboard",
      "date": "2026-09-03",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-03-kr-pm/",
      "description": "Introductory Flash rates vs Opus premium vs Grok 4.6. Public list prices, coding/agent positioning."
    },
    {
      "id": "drop-2026-09-03-kr-am",
      "title": "Open-weight landscape",
      "lane": "deep",
      "date": "2026-09-03",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-03-kr-am/",
      "description": "DeepSeek shipped V4 Pro on August 13, 2026. The official release supersedes the preview and adds stronger agentic capability. The model is available via API, web interface, and mob"
    },
    {
      "id": "drop-2026-09-03-us-am",
      "title": "Qwen3.8-Max ships at 2.4 trillion sparse parameters; DeepSeek V4-Flash adds vision with no surcharge; OpenAI Jalapeño chip targets inference speed",
      "lane": "deep",
      "date": "2026-09-03",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-03-us-am/",
      "description": "Qwen3.8-Max reached open weights on August 12–13, 2026. The architecture is a 2.4 trillion parameter sparse mixture-of-experts model that activates 95 billion parameters per forw"
    },
    {
      "id": "drop-2026-09-03-us-lunch",
      "title": "Grok 4.20 vs Gemini Flash latency, September prices",
      "lane": "scoreboard",
      "date": "2026-09-03",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-03-us-lunch/",
      "description": "Grok 4.20 538 ms total / 513 ms TTFT; Gemini 2.5 Flash 667 ms. Claude Sonnet 5 and Grok 4.6 list prices."
    },
    {
      "id": "drop-2026-09-02-kr-am",
      "title": "August 2026: harness, open weights, and the agent stack",
      "lane": "deep",
      "date": "2026-09-02",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-02-kr-am/",
      "description": "DeepSeek Harness, GLM-5.3, Qwen3.8-Max."
    },
    {
      "id": "drop-2026-09-02-kr-pm",
      "title": "Scoreboard",
      "lane": "scoreboard",
      "date": "2026-09-02",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-02-kr-pm/",
      "description": "This publication briefing summarizes observations from the field. It covers recent shifts in platform positioning and open-weight model statistics. "
    },
    {
      "id": "drop-2026-09-02-us-am",
      "title": "GLM-5.3, DeepSeek V4 Pro, Muse Glimmer",
      "lane": "deep",
      "date": "2026-09-02",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-02-us-am/",
      "description": "Two open-weight MoE models crossed 700B total parameters this cycle. One agentic benchmark crossed 80% on SWE-bench Verified. One Apache 2.0 open-weight model at 30B reached 76.0 o"
    },
    {
      "id": "drop-2026-09-02-us-lunch",
      "title": "August 2026 price and performance",
      "lane": "scoreboard",
      "date": "2026-09-02",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-02-us-lunch/",
      "description": "Gemini, Claude, Grok pricing and a one-page scoreboard from public sources."
    },
    {
      "id": "drop-2026-09-01-us-am",
      "title": "Containment, scale, and the new open-weights ledger",
      "lane": "deep",
      "date": "2026-09-01",
      "url": "https://dropkit-contents.pages.dev/posts/drop-2026-09-01-us-am/",
      "description": "AI firms still lack sufficient containment measures; no lab reached full implementation."
    },
    {
      "id": "briefing-2026-08-29",
      "title": "China sets the open-weight ceiling; Opus 5 still leads the closed scoreboard",
      "lane": "writing",
      "date": "2026-08-29",
      "url": "https://dropkit-contents.pages.dev/posts/briefing-2026-08-29/",
      "description": "2026-08-29 lab note: Kimi K3 / Qwen 2.4T MoE vs US open weights; Gemini, Claude, ChatGPT, Grok."
    }
  ]
}