{
  "schema_version": "1.0",
  "title": "Narusya Deep Search — OpenRouter Usage Snapshot",
  "source_ui": "OpenRouter",
  "snapshot_type": "app_usage_page",
  "snapshot_date_estimate": "2026-05-21",
  "data_range_start": "2026-03",
  "data_range_note": "Date range 'Mar 2026' visible in screenshot; exact end date uncertain.",
  "ocr_confidence": "low",
  "ocr_notes": [
    "Summary card values are OCR-extracted and may be approximate.",
    "One middle summary metric is unreadable/uncertain.",
    "Row 9 model name uncertain — screenshot text resembles another 'Gemini 2.5 Flash' variant.",
    "Row 11 model name 'Llama Nemotron Extended V1.8B 12B (free)' is uncertain.",
    "Row 13 model name 'Qwen3-5-Flash' is uncertain.",
    "Row 19 value/order may be swapped with Row 18."
  ],
  "summary_cards": {
    "total_tokens": {
      "value": "627M",
      "label": "Total tokens/usage",
      "confidence": "uncertain"
    },
    "date_range": {
      "value": "Mar 2026",
      "label": "Date range / since",
      "confidence": "visible"
    },
    "users": {
      "value": "952",
      "label": "Users",
      "confidence": "uncertain"
    },
    "unreadable_metric": {
      "value": null,
      "label": "unreadable",
      "confidence": "unreadable"
    }
  },
  "top_models_table_title": "Top models used by Narusya Deep Search this month",
  "top_models": [
    {"rank": 1, "model": "Owl Alpha", "tokens": "153M", "confidence": "ok"},
    {"rank": 2, "model": "DeepSeek V4 Flash", "tokens": "78.9M", "confidence": "ok"},
    {"rank": 3, "model": "Nemotron 3 Super", "tokens": "63M", "confidence": "ok"},
    {"rank": 4, "model": "gpt-oss-120b", "tokens": "62.2M", "confidence": "ok"},
    {"rank": 5, "model": "Text Embedding 3 Large", "tokens": "58.1M", "confidence": "ok"},
    {"rank": 6, "model": "Claude Sonnet 4.5", "tokens": "44.3M", "confidence": "ok"},
    {"rank": 7, "model": "Nemotron 3 Nano 30B A3B", "tokens": "34.5M", "confidence": "ok"},
    {"rank": 8, "model": "Gemini 2.5 Flash", "tokens": "33.4M", "confidence": "ok"},
    {"rank": 9, "model": "Gemini 2.5 Flash (variant uncertain)", "tokens": "29.2M", "confidence": "uncertain"},
    {"rank": 10, "model": "Gemini 3 Flash Preview", "tokens": "27M", "confidence": "ok"},
    {"rank": 11, "model": "Llama Nemotron Extended V1.8B 12B (free)", "tokens": "26.6M", "confidence": "uncertain"},
    {"rank": 12, "model": "Text Embedding 3 Small", "tokens": "21.4M", "confidence": "ok"},
    {"rank": 13, "model": "Qwen3-5-Flash", "tokens": "13.4M", "confidence": "uncertain"},
    {"rank": 14, "model": "GPT-4o-mini", "tokens": "10.8M", "confidence": "ok"},
    {"rank": 15, "model": "GLM 4.5", "tokens": "10M", "confidence": "ok"},
    {"rank": 16, "model": "Gemini 2.5 Pro", "tokens": "9.78M", "confidence": "ok"},
    {"rank": 17, "model": "DeepSeek V3 0324", "tokens": "9.24M", "confidence": "ok"},
    {"rank": 18, "model": "Claude Opus 4.7", "tokens": "8.09M", "confidence": "ok"},
    {"rank": 19, "model": "Kimi K2.0", "tokens": "8.13M", "confidence": "uncertain"},
    {"rank": 20, "model": "Claude Sonnet 4", "tokens": "7.96M", "confidence": "ok"}
  ],
  "insights": [
    "Owl Alpha dominerer med 153M tokens (~24% af total), fulgt af DeepSeek V4 Flash (78.9M) og Nemotron 3 Super (63M).",
    "Embedding-modeller (Text Embedding 3 Large + Small) tegner sig for ~79.5M tokens tilsammen — overraskende højt for en Deep Search-app.",
    "Claude-familien (Sonnet 4.5, Opus 4.7, Sonnet 4) repræsenterer ~60.4M tokens tilsammen.",
    "Gemini-familien (2.5 Flash x2, 3 Flash Preview, 2.5 Pro) repræsenterer ~99.4M tokens tilsammen.",
    "Den top-3 koncentration (Owl Alpha + DeepSeek + Nemotron 3 Super) står for ~295M tokens (~47% af total)."
  ],
  "source_screenshot": "/llm/images/narusya-deep-search-openrouter-usage-2026-05.jpg",
  "page_url": "/llm/openrouter/"
}