{
  "video": "video-05c0b122.mp4",
  "description": "The provided information appears to be a series of video frames or images (from 00:00 to 00:23) that all display the **exact same data table**.\n\n**Content of the Table:**\n\nThe table presents a comparison of different benchmarks across several configurations of a model or system, likely denoted by \"Gamma 4,\" \"Gamma 4 268 AAB IT,\" \"Gamma 4 E4B IT,\" \"Gamma 4 E2B IT,\" and \"Gamma 3 278 IT.\"\n\n**Columns (Configurations):**\n*   **Benchmark**\n*   **Gamma 4 31B IT** (This is the first specific model variant)\n*   **Gamma 4 268 AAB IT**\n*   **Gamma 4 E4B IT**\n*   **Gamma 4 E2B IT**\n*   **Gamma 3 278 IT**\n\n**Rows (Benchmarks/Metrics):**\n*   **Arena AI (best)**\n*   **MMMLU**\n*   **MMMU Pro**\n*   **AIME 2026**\n*   **LiveCodeBench v6**\n*   **FGPA Diamond**\n*   **12-bench**\n\n**Observed Data Points (Examples):**\n*   **Arena AI (best):** The performance varies significantly, from 1452 to 1365.\n*   **MMMLU:** Scores are generally around the 80% range, with variants achieving scores like 85.2% to 76.6%.\n*   **FGPA Diamond:** Scores are consistently around the 84% range.\n*   **12-bench:** Shows the highest consistency, with the 31B IT variant achieving 86.4%.\n\n**Summary:**\n\nThe video is a **static presentation** or a **slideshow** displaying a detailed **performance comparison chart**. It shows how different versions of language models (Gamma 4 variants and Gamma 3) perform across a set of standardized benchmarks (Arena AI, MMMLU, etc.). Since every frame is identical, there is no dynamic action, storytelling, or changing information occurring in the clip; it is purely a data visualization presentation.",
  "codec": "av1",
  "transcoded": true,
  "elapsed_s": 11.9
}