{
  "name": "Рейтинг AI-моделей от ЦАРЬ РОУТЕР",
  "description": "Результаты собственных прогонов бенчмарков - LiveBench, Контекстное окно (MRCR v2), Bullshit Detection Benchmark, claw-eval (Agent Tasks) - и фактические затраты на них. Модели развёрнуты в России, прогоны выполнены через API ЦАРЬ РОУТЕР.",
  "url": "https://tsarrouter.ru/benchmarks",
  "creator": "ЦАРЬ РОУТЕР",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "license_name": "CC BY 4.0",
  "license_scope": "Лицензия CC BY 4.0 распространяется только на результаты замеров, выполненных сервисом ЦАРЬ РОУТЕР. Методики и наборы заданий остаются собственностью их правообладателей и используются на их условиях.",
  "credit_text": "Источник: ЦАРЬ РОУТЕР, https://tsarrouter.ru/benchmarks (CC BY 4.0)",
  "sources": [
    {
      "id": "livebench",
      "name": "LiveBench",
      "url": "https://github.com/LiveBench/LiveBench",
      "license": "Apache-2.0"
    },
    {
      "id": "mrcr",
      "name": "MRCR v2 (DeepMind), arXiv:2409.12640v2",
      "url": "https://github.com/google-deepmind/eval_hub",
      "license": "Apache-2.0"
    },
    {
      "id": "bullshit",
      "name": "Bullshit Detection Benchmark",
      "url": "https://github.com/petergpt/bullshit-benchmark",
      "license": "MIT"
    },
    {
      "id": "claw-eval",
      "name": "claw-eval",
      "url": "https://github.com/claw-eval/claw-eval",
      "license": null
    }
  ],
  "date_modified": "2026-08-01T09:56:16.858121+00:00",
  "generated_at": "2026-08-06T00:58:54.038Z",
  "notes": [
    "active=false - модель выведена из рейтинга, её баллы относятся к прошлым прогонам.",
    "Все значения с unit=score - проценты (0-100).",
    "Порядок строк - ранг внутри таблицы. В таблицах с окнами контекста он считается по среднему всех колонок, непройденное окно идёт нулём; Царь Индекс усредняет только измеренные окна, поэтому порядок в двух таблицах может отличаться.",
    "Пустая ячейка в «Контекстное окно, токенов» - размер окна неизвестен (модель снята с каталога).",
    "0 в «Расход, ₽» - прогон не тарифицировался.",
    "При использовании обязательно указание источника и лицензии."
  ],
  "tsar_index": {
    "id": "tsar-index",
    "name": "Царь Индекс",
    "description": "Среднее четырёх величин: LiveBench (Среднее), MRCR v2 (среднее по измеренным окнам), Bullshit Detection Benchmark (Распознал (2)), claw-eval (Claw Score). Только модели, у которых есть результат в каждой из четырёх.",
    "metrics": [
      {
        "id": "tsar-index",
        "name": "Царь Индекс",
        "unit": "score"
      }
    ],
    "models": [
      {
        "model": "Qwen3.6-35B-A3B (medium)",
        "api_id": "Qwen/Qwen3.6-35B-A3B",
        "developer": "alibaba",
        "active": true,
        "values": {
          "tsar-index": 59
        }
      },
      {
        "model": "DeepSeek V4 Flash (medium)",
        "api_id": "deepseek/deepseek-v4-flash",
        "developer": "deepseek",
        "active": true,
        "values": {
          "tsar-index": 50.9
        }
      },
      {
        "model": "DeepSeek V32 (medium)",
        "api_id": "deepseek/deepseek-v32",
        "developer": "deepseek",
        "active": false,
        "values": {
          "tsar-index": 36.2
        }
      },
      {
        "model": "Qwen3.5-35B-A3B",
        "api_id": "Qwen/Qwen3.5-35B-A3B",
        "developer": "alibaba",
        "active": false,
        "values": {
          "tsar-index": 35.5
        }
      },
      {
        "model": "AliceAI-LLM (32k)",
        "api_id": "yandex/aliceai-llm-32k",
        "developer": "yandex",
        "active": false,
        "values": {
          "tsar-index": 34.6
        }
      },
      {
        "model": "AliceAI-LLM (128k)",
        "api_id": "yandex/aliceai-llm",
        "developer": "yandex",
        "active": true,
        "values": {
          "tsar-index": 33.9
        }
      },
      {
        "model": "AliceAI-LLM Flash",
        "api_id": "yandex/aliceai-llm-flash",
        "developer": "yandex",
        "active": true,
        "values": {
          "tsar-index": 32
        }
      },
      {
        "model": "gpt-oss-120b (medium)",
        "api_id": "openai/gpt-oss-120b",
        "developer": "openai",
        "active": true,
        "values": {
          "tsar-index": 31.8
        }
      },
      {
        "model": "Qwen3-Coder-Next-32B",
        "api_id": "Qwen/Qwen3-Coder-Next-32B-A3.2B-Instruct",
        "developer": "alibaba",
        "active": true,
        "values": {
          "tsar-index": 29.6
        }
      },
      {
        "model": "Qwen3-235B",
        "api_id": "Qwen/Qwen3-235B-A22B-Instruct-2507",
        "developer": "alibaba",
        "active": true,
        "values": {
          "tsar-index": 29
        }
      },
      {
        "model": "GLM-4.7",
        "api_id": "zai-org/GLM-4.7",
        "developer": "zhipu",
        "active": true,
        "values": {
          "tsar-index": 27.5
        }
      },
      {
        "model": "gpt-oss-20b (medium)",
        "api_id": "openai/gpt-oss-20b",
        "developer": "openai",
        "active": true,
        "values": {
          "tsar-index": 21.4
        }
      },
      {
        "model": "GigaChat-2-Pro (high)",
        "api_id": "sber/gigachat-2-pro",
        "developer": "sber",
        "active": true,
        "values": {
          "tsar-index": 20.9
        }
      },
      {
        "model": "GigaChat-2-Pro",
        "api_id": "sber/gigachat-2-pro",
        "developer": "sber",
        "active": true,
        "values": {
          "tsar-index": 19.9
        }
      },
      {
        "model": "GigaChat Max (Sber)",
        "api_id": "sber/gigachat-2-max",
        "developer": "sber",
        "active": true,
        "values": {
          "tsar-index": 18.7
        }
      },
      {
        "model": "GigaChat-2-Lite (high)",
        "api_id": "sber/gigachat-2-lite",
        "developer": "sber",
        "active": true,
        "values": {
          "tsar-index": 16.4
        }
      },
      {
        "model": "GigaChat-2-Lite",
        "api_id": "sber/gigachat-2-lite",
        "developer": "sber",
        "active": true,
        "values": {
          "tsar-index": 15.6
        }
      },
      {
        "model": "GigaChat3-10B",
        "api_id": "ai-sage/GigaChat3-10B-A1.8B",
        "developer": "sber",
        "active": true,
        "values": {
          "tsar-index": 15.4
        }
      }
    ]
  },
  "suites": [
    {
      "id": "livebench",
      "name": "LiveBench",
      "description": "Автоматический бенчмарк с регулярно обновляемыми вопросами. Математика, рассуждение, следование инструкциям, анализ данных, язык и код. Все ответы проверяются без LLM-судей - только точное сравнение с эталонным ответом.",
      "metrics": [
        {
          "id": "livebench-avg",
          "name": "Среднее",
          "unit": "score"
        },
        {
          "id": "livebench-math",
          "name": "Math",
          "unit": "score"
        },
        {
          "id": "livebench-reasoning",
          "name": "Reasoning",
          "unit": "score"
        },
        {
          "id": "livebench-if",
          "name": "Instruction Following",
          "unit": "score"
        },
        {
          "id": "livebench-data",
          "name": "Data Analysis",
          "unit": "score"
        },
        {
          "id": "livebench-language",
          "name": "Language",
          "unit": "score"
        },
        {
          "id": "livebench-coding",
          "name": "Coding",
          "unit": "score"
        }
      ],
      "models": [
        {
          "model": "DeepSeek V4 Flash (medium)",
          "api_id": "deepseek/deepseek-v4-flash",
          "developer": "deepseek",
          "active": true,
          "values": {
            "livebench-avg": 78.7,
            "livebench-math": 76,
            "livebench-reasoning": 90,
            "livebench-if": 92,
            "livebench-data": 73.1,
            "livebench-language": 78,
            "livebench-coding": 62.9
          }
        },
        {
          "model": "DeepSeek V32 (medium)",
          "api_id": "deepseek/deepseek-v32",
          "developer": "deepseek",
          "active": false,
          "values": {
            "livebench-avg": 75.6,
            "livebench-math": 69.2,
            "livebench-reasoning": 81,
            "livebench-if": 84.9,
            "livebench-data": 63.9,
            "livebench-language": 83.5,
            "livebench-coding": 71.1
          }
        },
        {
          "model": "gpt-oss-120b (medium)",
          "api_id": "openai/gpt-oss-120b",
          "developer": "openai",
          "active": true,
          "values": {
            "livebench-avg": 73.5,
            "livebench-math": 70.4,
            "livebench-reasoning": 81.1,
            "livebench-if": 77.1,
            "livebench-data": 59.8,
            "livebench-language": 78.5,
            "livebench-coding": 74.4
          }
        },
        {
          "model": "Qwen3.6-35B-A3B (medium)",
          "api_id": "Qwen/Qwen3.6-35B-A3B",
          "developer": "alibaba",
          "active": true,
          "values": {
            "livebench-avg": 69.8,
            "livebench-math": 46.9,
            "livebench-reasoning": 76.4,
            "livebench-if": 94.4,
            "livebench-data": 76.7,
            "livebench-language": 50.3,
            "livebench-coding": 73.9
          }
        },
        {
          "model": "Qwen3-Coder-480B",
          "api_id": "Qwen/Qwen3-Coder-480B-A35B-Instruct",
          "developer": "alibaba",
          "active": false,
          "values": {
            "livebench-avg": 67.9,
            "livebench-math": 61.8,
            "livebench-reasoning": 57.5,
            "livebench-if": 73.6,
            "livebench-data": 55.9,
            "livebench-language": 79.7,
            "livebench-coding": 78.7
          }
        },
        {
          "model": "Qwen3.5-35B-A3B",
          "api_id": "Qwen/Qwen3.5-35B-A3B",
          "developer": "alibaba",
          "active": false,
          "values": {
            "livebench-avg": 64.4,
            "livebench-math": 32.1,
            "livebench-reasoning": 79.2,
            "livebench-if": 95,
            "livebench-data": 65.5,
            "livebench-language": 50,
            "livebench-coding": 64.4
          }
        },
        {
          "model": "AliceAI-LLM (128k)",
          "api_id": "yandex/aliceai-llm",
          "developer": "yandex",
          "active": true,
          "values": {
            "livebench-avg": 60.2,
            "livebench-math": 66.8,
            "livebench-reasoning": 60.2,
            "livebench-if": 64.9,
            "livebench-data": 59.6,
            "livebench-language": 42.5,
            "livebench-coding": 67.3
          }
        },
        {
          "model": "AliceAI-LLM (32k)",
          "api_id": "yandex/aliceai-llm-32k",
          "developer": "yandex",
          "active": false,
          "values": {
            "livebench-avg": 57.8,
            "livebench-math": 62.5,
            "livebench-reasoning": 55.8,
            "livebench-if": 64.8,
            "livebench-data": 55.1,
            "livebench-language": 39,
            "livebench-coding": 69.3
          }
        },
        {
          "model": "AliceAI-LLM Flash",
          "api_id": "yandex/aliceai-llm-flash",
          "developer": "yandex",
          "active": true,
          "values": {
            "livebench-avg": 57.1,
            "livebench-math": 62.5,
            "livebench-reasoning": 55.6,
            "livebench-if": 59.4,
            "livebench-data": 64.2,
            "livebench-language": 32.5,
            "livebench-coding": 68.6
          }
        },
        {
          "model": "gpt-oss-20b (medium)",
          "api_id": "openai/gpt-oss-20b",
          "developer": "openai",
          "active": true,
          "values": {
            "livebench-avg": 55.8,
            "livebench-math": 55.1,
            "livebench-reasoning": 62,
            "livebench-if": 75.8,
            "livebench-data": 64.6,
            "livebench-language": 14,
            "livebench-coding": 63
          }
        },
        {
          "model": "Qwen3-Coder-Next-32B",
          "api_id": "Qwen/Qwen3-Coder-Next-32B-A3.2B-Instruct",
          "developer": "alibaba",
          "active": true,
          "values": {
            "livebench-avg": 44.8,
            "livebench-math": 40.5,
            "livebench-reasoning": 3,
            "livebench-if": 69.2,
            "livebench-data": 63.3,
            "livebench-language": 24,
            "livebench-coding": 68.5
          }
        },
        {
          "model": "Qwen3-235B",
          "api_id": "Qwen/Qwen3-235B-A22B-Instruct-2507",
          "developer": "alibaba",
          "active": true,
          "values": {
            "livebench-avg": 44.6,
            "livebench-math": 8,
            "livebench-reasoning": 50,
            "livebench-if": 76.7,
            "livebench-data": 60.3,
            "livebench-language": 6,
            "livebench-coding": 66.9
          }
        },
        {
          "model": "GLM-4.7",
          "api_id": "zai-org/GLM-4.7",
          "developer": "zhipu",
          "active": true,
          "values": {
            "livebench-avg": 42.7,
            "livebench-math": 30,
            "livebench-reasoning": 20,
            "livebench-if": 78.9,
            "livebench-data": 66.7,
            "livebench-language": 4,
            "livebench-coding": 56.4
          }
        },
        {
          "model": "GigaChat-2-Pro",
          "api_id": "sber/gigachat-2-pro",
          "developer": "sber",
          "active": true,
          "values": {
            "livebench-avg": 42.1,
            "livebench-math": 37.3,
            "livebench-reasoning": 36.2,
            "livebench-if": 66.9,
            "livebench-data": 46.6,
            "livebench-language": 24.2,
            "livebench-coding": 41.5
          }
        },
        {
          "model": "GigaChat Max (Sber)",
          "api_id": "sber/gigachat-2-max",
          "developer": "sber",
          "active": true,
          "values": {
            "livebench-avg": 41.4,
            "livebench-math": 39.3,
            "livebench-reasoning": 32,
            "livebench-if": 64.5,
            "livebench-data": 44,
            "livebench-language": 22,
            "livebench-coding": 46.7
          }
        },
        {
          "model": "GigaChat-2-Pro (high)",
          "api_id": "sber/gigachat-2-pro",
          "developer": "sber",
          "active": true,
          "values": {
            "livebench-avg": 39.9,
            "livebench-math": 36.7,
            "livebench-reasoning": 35.6,
            "livebench-if": 65.6,
            "livebench-data": 46.2,
            "livebench-language": 19.8,
            "livebench-coding": 35.8
          }
        },
        {
          "model": "GigaChat-2-Lite (high)",
          "api_id": "sber/gigachat-2-lite",
          "developer": "sber",
          "active": true,
          "values": {
            "livebench-avg": 29.1,
            "livebench-math": 28,
            "livebench-reasoning": 25.9,
            "livebench-if": 55.9,
            "livebench-data": 29.1,
            "livebench-language": 15.8,
            "livebench-coding": 20
          }
        },
        {
          "model": "GigaChat-2-Lite",
          "api_id": "sber/gigachat-2-lite",
          "developer": "sber",
          "active": true,
          "values": {
            "livebench-avg": 27.1,
            "livebench-math": 23.5,
            "livebench-reasoning": 27.2,
            "livebench-if": 55.7,
            "livebench-data": 24.1,
            "livebench-language": 7.5,
            "livebench-coding": 24.7
          }
        },
        {
          "model": "GigaChat3-10B",
          "api_id": "ai-sage/GigaChat3-10B-A1.8B",
          "developer": "sber",
          "active": true,
          "values": {
            "livebench-avg": 20.9,
            "livebench-math": 24.3,
            "livebench-reasoning": 5,
            "livebench-if": 42.2,
            "livebench-data": 32.8,
            "livebench-language": 0.7,
            "livebench-coding": 20.7
          }
        }
      ]
    },
    {
      "id": "mrcr",
      "name": "Контекстное окно (MRCR v2)",
      "description": "Тест DeepMind (MRCR, multi-round coreference resolution) на работу с длинным контекстом: в диалоге модель должна точно воспроизвести один конкретный из восьми похожих ответов ассистента. Оценивается точность при увеличении размера контекста. Инструменты модели не предоставлялись. Методика: arXiv:2409.12640v2.",
      "metrics": [
        {
          "id": "mrcr-4k",
          "name": "4K",
          "unit": "score"
        },
        {
          "id": "mrcr-8k",
          "name": "8K",
          "unit": "score"
        },
        {
          "id": "mrcr-16k",
          "name": "16K",
          "unit": "score"
        },
        {
          "id": "mrcr-32k",
          "name": "32K",
          "unit": "score"
        },
        {
          "id": "mrcr-64k",
          "name": "64K",
          "unit": "score"
        },
        {
          "id": "mrcr-128k",
          "name": "128K",
          "unit": "score"
        }
      ],
      "models": [
        {
          "model": "DeepSeek V4 Pro (medium)",
          "api_id": "deepseek-ai/DeepSeek-V4-Pro",
          "developer": "deepseek",
          "active": true,
          "values": {
            "mrcr-4k": 100,
            "mrcr-8k": 85.1,
            "mrcr-16k": 91.2,
            "mrcr-32k": 67.9,
            "mrcr-64k": 75.4,
            "mrcr-128k": 28
          }
        },
        {
          "model": "Qwen3.6-35B-A3B (medium)",
          "api_id": "Qwen/Qwen3.6-35B-A3B",
          "developer": "alibaba",
          "active": true,
          "values": {
            "mrcr-4k": 100,
            "mrcr-8k": 95.1,
            "mrcr-16k": 95.5,
            "mrcr-32k": 70.8,
            "mrcr-64k": 60.7,
            "mrcr-128k": null
          }
        },
        {
          "model": "DeepSeek V4 Flash (medium)",
          "api_id": "deepseek/deepseek-v4-flash",
          "developer": "deepseek",
          "active": true,
          "values": {
            "mrcr-4k": 99.8,
            "mrcr-8k": 85.3,
            "mrcr-16k": 67.1,
            "mrcr-32k": 46.4,
            "mrcr-64k": 17.3,
            "mrcr-128k": 70.7
          }
        },
        {
          "model": "AliceAI-LLM (128k)",
          "api_id": "yandex/aliceai-llm",
          "developer": "yandex",
          "active": true,
          "values": {
            "mrcr-4k": 46.4,
            "mrcr-8k": 36.3,
            "mrcr-16k": 29.6,
            "mrcr-32k": 17.4,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "DeepSeek V32 (medium)",
          "api_id": "deepseek/deepseek-v32",
          "developer": "deepseek",
          "active": false,
          "values": {
            "mrcr-4k": 41.1,
            "mrcr-8k": 32,
            "mrcr-16k": 25,
            "mrcr-32k": 8.8,
            "mrcr-64k": 12.6,
            "mrcr-128k": null
          }
        },
        {
          "model": "Qwen3-235B",
          "api_id": "Qwen/Qwen3-235B-A22B-Instruct-2507",
          "developer": "alibaba",
          "active": true,
          "values": {
            "mrcr-4k": 31.9,
            "mrcr-8k": 27,
            "mrcr-16k": 24.2,
            "mrcr-32k": 16.2,
            "mrcr-64k": 17.1,
            "mrcr-128k": null
          }
        },
        {
          "model": "AliceAI-LLM (32k)",
          "api_id": "yandex/aliceai-llm-32k",
          "developer": "yandex",
          "active": false,
          "values": {
            "mrcr-4k": 41.3,
            "mrcr-8k": 31.5,
            "mrcr-16k": 34.5,
            "mrcr-32k": null,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "Qwen3-Coder-Next-32B",
          "api_id": "Qwen/Qwen3-Coder-Next-32B-A3.2B-Instruct",
          "developer": "alibaba",
          "active": true,
          "values": {
            "mrcr-4k": 31.2,
            "mrcr-8k": 17.4,
            "mrcr-16k": 13.1,
            "mrcr-32k": 13.9,
            "mrcr-64k": 17.2,
            "mrcr-128k": null
          }
        },
        {
          "model": "gpt-oss-120b (medium)",
          "api_id": "openai/gpt-oss-120b",
          "developer": "openai",
          "active": true,
          "values": {
            "mrcr-4k": 49.2,
            "mrcr-8k": 13.8,
            "mrcr-16k": 7.4,
            "mrcr-32k": 2.3,
            "mrcr-64k": 2.9,
            "mrcr-128k": null
          }
        },
        {
          "model": "T-pro-it-2.0",
          "api_id": "t-tech/T-pro-it-2.0",
          "developer": "t-bank",
          "active": false,
          "values": {
            "mrcr-4k": 22.1,
            "mrcr-8k": 26.2,
            "mrcr-16k": 10.3,
            "mrcr-32k": null,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "AliceAI-LLM Flash",
          "api_id": "yandex/aliceai-llm-flash",
          "developer": "yandex",
          "active": true,
          "values": {
            "mrcr-4k": 16.9,
            "mrcr-8k": 22.1,
            "mrcr-16k": 19.4,
            "mrcr-32k": null,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "GLM-4.7",
          "api_id": "zai-org/GLM-4.7",
          "developer": "zhipu",
          "active": true,
          "values": {
            "mrcr-4k": 16.5,
            "mrcr-8k": 14.1,
            "mrcr-16k": 13.8,
            "mrcr-32k": 8.6,
            "mrcr-64k": 3.1,
            "mrcr-128k": null
          }
        },
        {
          "model": "GigaChat-2-Pro (high)",
          "api_id": "sber/gigachat-2-pro",
          "developer": "sber",
          "active": true,
          "values": {
            "mrcr-4k": 12.7,
            "mrcr-8k": 12.4,
            "mrcr-16k": 13.6,
            "mrcr-32k": 15.7,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "T-pro-it-2.1",
          "api_id": "t-tech/T-pro-it-2.1",
          "developer": "t-bank",
          "active": false,
          "values": {
            "mrcr-4k": 21.8,
            "mrcr-8k": 12.4,
            "mrcr-16k": 20.1,
            "mrcr-32k": null,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "T-lite-it-2.1",
          "api_id": "t-tech/T-lite-it-2.1",
          "developer": "t-bank",
          "active": false,
          "values": {
            "mrcr-4k": 12.5,
            "mrcr-8k": 22.2,
            "mrcr-16k": 18.9,
            "mrcr-32k": null,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "gemma-3-27b-it",
          "api_id": "google/gemma-3-27b-it",
          "developer": "google",
          "active": false,
          "values": {
            "mrcr-4k": 12.5,
            "mrcr-8k": 12.3,
            "mrcr-16k": 14,
            "mrcr-32k": 12.4,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "GigaChat-2-Lite",
          "api_id": "sber/gigachat-2-lite",
          "developer": "sber",
          "active": true,
          "values": {
            "mrcr-4k": 7.2,
            "mrcr-8k": 17,
            "mrcr-16k": 14.4,
            "mrcr-32k": 8.9,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "GigaChat-2-Pro",
          "api_id": "sber/gigachat-2-pro",
          "developer": "sber",
          "active": true,
          "values": {
            "mrcr-4k": 11.8,
            "mrcr-8k": 12.7,
            "mrcr-16k": 8.5,
            "mrcr-32k": 7.6,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "GigaChat-2-Lite (high)",
          "api_id": "sber/gigachat-2-lite",
          "developer": "sber",
          "active": true,
          "values": {
            "mrcr-4k": 8.5,
            "mrcr-8k": 11.7,
            "mrcr-16k": 9.7,
            "mrcr-32k": 7.9,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "GigaChat Max (Sber)",
          "api_id": "sber/gigachat-2-max",
          "developer": "sber",
          "active": true,
          "values": {
            "mrcr-4k": 14.3,
            "mrcr-8k": 10.3,
            "mrcr-16k": 9.6,
            "mrcr-32k": 3.3,
            "mrcr-64k": null,
            "mrcr-128k": null
          }
        },
        {
          "model": "Qwen3.5-35B-A3B",
          "api_id": "Qwen/Qwen3.5-35B-A3B",
          "developer": "alibaba",
          "active": false,
          "values": {
            "mrcr-4k": 15.5,
            "mrcr-8k": 2.2,
            "mrcr-16k": 4,
            "mrcr-32k": 5,
            "mrcr-64k": 3.2,
            "mrcr-128k": null
          }
        },
        {
          "model": "GigaChat3-10B",
          "api_id": "ai-sage/GigaChat3-10B-A1.8B",
          "developer": "sber",
          "active": true,
          "values": {
            "mrcr-4k": 4.8,
            "mrcr-8k": 6.6,
            "mrcr-16k": 14,
            "mrcr-32k": 2.4,
            "mrcr-64k": 0.8,
            "mrcr-128k": null
          }
        },
        {
          "model": "gpt-oss-20b (medium)",
          "api_id": "openai/gpt-oss-20b",
          "developer": "openai",
          "active": true,
          "values": {
            "mrcr-4k": 11.3,
            "mrcr-8k": 2.4,
            "mrcr-16k": 9.4,
            "mrcr-32k": 1.6,
            "mrcr-64k": 1.6,
            "mrcr-128k": null
          }
        },
        {
          "model": "MiniMax-M2",
          "api_id": "MiniMaxAI/MiniMax-M2",
          "developer": "minimax",
          "active": false,
          "values": {
            "mrcr-4k": 5.9,
            "mrcr-8k": 0.3,
            "mrcr-16k": 6.7,
            "mrcr-32k": 0.8,
            "mrcr-64k": 1,
            "mrcr-128k": null
          }
        },
        {
          "model": "GLM-4.7-Flash",
          "api_id": "zai-org/GLM-4.7-Flash",
          "developer": "zhipu",
          "active": false,
          "values": {
            "mrcr-4k": 1.3,
            "mrcr-8k": 5.5,
            "mrcr-16k": 0.4,
            "mrcr-32k": 0.1,
            "mrcr-64k": 1.4,
            "mrcr-128k": null
          }
        }
      ]
    },
    {
      "id": "bullshit",
      "name": "Bullshit Detection Benchmark",
      "description": "Тест на распознавание бессмысленных вопросов (petergpt/bullshit-benchmark, набор v1). 55 вопросов, распределённых по 10 техникам. Три судьи (Claude Sonnet 4.6, GPT-5.2, Gemini 3.1 Pro) оценивают ответы: 2 = распознал, 1 = частично, 0 = не распознал. Итоговый балл = распознал% + частично%/2. Сортировка по итоговому баллу; в Царь Индекс идёт только доля «Распознал (2)».",
      "metrics": [
        {
          "id": "bullshit-detected",
          "name": "Распознал (2)",
          "unit": "score"
        },
        {
          "id": "bullshit-partial",
          "name": "Частично (1)",
          "unit": "score"
        },
        {
          "id": "bullshit-missed",
          "name": "Не распознал (0)",
          "unit": "score"
        }
      ],
      "models": [
        {
          "model": "Qwen3.6-35B-A3B (medium)",
          "api_id": "Qwen/Qwen3.6-35B-A3B",
          "developer": "alibaba",
          "active": true,
          "values": {
            "bullshit-detected": 46.1,
            "bullshit-partial": 20,
            "bullshit-missed": 33.9
          }
        },
        {
          "model": "Qwen3.5-35B-A3B",
          "api_id": "Qwen/Qwen3.5-35B-A3B",
          "developer": "alibaba",
          "active": false,
          "values": {
            "bullshit-detected": 37,
            "bullshit-partial": 25.5,
            "bullshit-missed": 37.6
          }
        },
        {
          "model": "Qwen3-Coder-Next-32B",
          "api_id": "Qwen/Qwen3-Coder-Next-32B-A3.2B-Instruct",
          "developer": "alibaba",
          "active": true,
          "values": {
            "bullshit-detected": 27.3,
            "bullshit-partial": 25.5,
            "bullshit-missed": 47.3
          }
        },
        {
          "model": "Qwen3-235B",
          "api_id": "Qwen/Qwen3-235B-A22B-Instruct-2507",
          "developer": "alibaba",
          "active": true,
          "values": {
            "bullshit-detected": 22.4,
            "bullshit-partial": 23.6,
            "bullshit-missed": 53.9
          }
        },
        {
          "model": "AliceAI-LLM (32k)",
          "api_id": "yandex/aliceai-llm-32k",
          "developer": "yandex",
          "active": false,
          "values": {
            "bullshit-detected": 20.6,
            "bullshit-partial": 16.4,
            "bullshit-missed": 63
          }
        },
        {
          "model": "AliceAI-LLM Flash",
          "api_id": "yandex/aliceai-llm-flash",
          "developer": "yandex",
          "active": true,
          "values": {
            "bullshit-detected": 24.8,
            "bullshit-partial": 7.3,
            "bullshit-missed": 67.9
          }
        },
        {
          "model": "T-pro-it-2.1",
          "api_id": "t-tech/T-pro-it-2.1",
          "developer": "t-bank",
          "active": false,
          "values": {
            "bullshit-detected": 23.6,
            "bullshit-partial": 9.1,
            "bullshit-missed": 67.3
          }
        },
        {
          "model": "Qwen3-Coder-480B",
          "api_id": "Qwen/Qwen3-Coder-480B-A35B-Instruct",
          "developer": "alibaba",
          "active": false,
          "values": {
            "bullshit-detected": 24.2,
            "bullshit-partial": 7.3,
            "bullshit-missed": 68.5
          }
        },
        {
          "model": "GLM-4.7",
          "api_id": "zai-org/GLM-4.7",
          "developer": "zhipu",
          "active": true,
          "values": {
            "bullshit-detected": 20.4,
            "bullshit-partial": 12.2,
            "bullshit-missed": 67.3
          }
        },
        {
          "model": "AliceAI-LLM (128k)",
          "api_id": "yandex/aliceai-llm",
          "developer": "yandex",
          "active": true,
          "values": {
            "bullshit-detected": 18.8,
            "bullshit-partial": 12.1,
            "bullshit-missed": 69.1
          }
        },
        {
          "model": "DeepSeek V4 Flash (medium)",
          "api_id": "deepseek/deepseek-v4-flash",
          "developer": "deepseek",
          "active": true,
          "values": {
            "bullshit-detected": 22.4,
            "bullshit-partial": 4.2,
            "bullshit-missed": 73.3
          }
        },
        {
          "model": "DeepSeek V4 Pro (medium)",
          "api_id": "deepseek-ai/DeepSeek-V4-Pro",
          "developer": "deepseek",
          "active": true,
          "values": {
            "bullshit-detected": 15.8,
            "bullshit-partial": 10.9,
            "bullshit-missed": 73.3
          }
        },
        {
          "model": "T-lite-it-2.1",
          "api_id": "t-tech/T-lite-it-2.1",
          "developer": "t-bank",
          "active": false,
          "values": {
            "bullshit-detected": 14.5,
            "bullshit-partial": 9.1,
            "bullshit-missed": 76.4
          }
        },
        {
          "model": "DeepSeek V32 (medium)",
          "api_id": "deepseek/deepseek-v32",
          "developer": "deepseek",
          "active": false,
          "values": {
            "bullshit-detected": 13.3,
            "bullshit-partial": 9.1,
            "bullshit-missed": 77.6
          }
        },
        {
          "model": "GigaChat3-10B",
          "api_id": "ai-sage/GigaChat3-10B-A1.8B",
          "developer": "sber",
          "active": true,
          "values": {
            "bullshit-detected": 11.1,
            "bullshit-partial": 9.3,
            "bullshit-missed": 79.6
          }
        },
        {
          "model": "GigaChat-2-Pro (high)",
          "api_id": "sber/gigachat-2-pro",
          "developer": "sber",
          "active": true,
          "values": {
            "bullshit-detected": 7.3,
            "bullshit-partial": 9.7,
            "bullshit-missed": 83
          }
        },
        {
          "model": "gpt-oss-120b (medium)",
          "api_id": "openai/gpt-oss-120b",
          "developer": "openai",
          "active": true,
          "values": {
            "bullshit-detected": 7.9,
            "bullshit-partial": 6.7,
            "bullshit-missed": 85.5
          }
        },
        {
          "model": "GigaChat-2-Pro",
          "api_id": "sber/gigachat-2-pro",
          "developer": "sber",
          "active": true,
          "values": {
            "bullshit-detected": 5.5,
            "bullshit-partial": 10.9,
            "bullshit-missed": 83.6
          }
        },
        {
          "model": "GigaChat-2-Lite (high)",
          "api_id": "sber/gigachat-2-lite",
          "developer": "sber",
          "active": true,
          "values": {
            "bullshit-detected": 4.2,
            "bullshit-partial": 7.9,
            "bullshit-missed": 87.9
          }
        },
        {
          "model": "gpt-oss-20b (medium)",
          "api_id": "openai/gpt-oss-20b",
          "developer": "openai",
          "active": true,
          "values": {
            "bullshit-detected": 3.9,
            "bullshit-partial": 7.8,
            "bullshit-missed": 88.2
          }
        },
        {
          "model": "T-pro-it-2.0",
          "api_id": "t-tech/T-pro-it-2.0",
          "developer": "t-bank",
          "active": false,
          "values": {
            "bullshit-detected": 3.6,
            "bullshit-partial": 3.6,
            "bullshit-missed": 92.7
          }
        },
        {
          "model": "GigaChat Max (Sber)",
          "api_id": "sber/gigachat-2-max",
          "developer": "sber",
          "active": true,
          "values": {
            "bullshit-detected": 2.4,
            "bullshit-partial": 4.8,
            "bullshit-missed": 92.7
          }
        },
        {
          "model": "gemma-3-27b-it",
          "api_id": "google/gemma-3-27b-it",
          "developer": "google",
          "active": false,
          "values": {
            "bullshit-detected": 1.9,
            "bullshit-partial": 3.8,
            "bullshit-missed": 94.2
          }
        },
        {
          "model": "GigaChat-2-Lite",
          "api_id": "sber/gigachat-2-lite",
          "developer": "sber",
          "active": true,
          "values": {
            "bullshit-detected": 1.8,
            "bullshit-partial": 3.6,
            "bullshit-missed": 94.5
          }
        }
      ]
    },
    {
      "id": "claw-eval",
      "name": "claw-eval (Agent Tasks)",
      "description": "Оценка агентских способностей модели: 300 задач (планирование, инструменты, многошаговое выполнение). Claw Score - наш сводный балл, взвешенное среднее (completion×0.1 + pass@1×0.7 + robustness×0.1 + safety×0.1); он не совпадает с метрикой Pass^3 официального лидерборда claw-eval - у нас один прогон вместо трёх и другой судья. Completion - доля выполненных подзадач. Robustness - стабильность (не зациклился, не упал). Safety - безопасность (не выполнил деструктивных действий). Pass@1 - задачи, решённые полностью.",
      "metrics": [
        {
          "id": "claw-avg",
          "name": "Claw Score",
          "unit": "score"
        },
        {
          "id": "claw-pass",
          "name": "Pass@1",
          "unit": "score"
        },
        {
          "id": "claw-completion",
          "name": "Completion",
          "unit": "score"
        },
        {
          "id": "claw-robustness",
          "name": "Robustness",
          "unit": "score"
        },
        {
          "id": "claw-safety",
          "name": "Safety",
          "unit": "score"
        }
      ],
      "models": [
        {
          "model": "DeepSeek V4 Flash (medium)",
          "api_id": "deepseek/deepseek-v4-flash",
          "developer": "deepseek",
          "active": true,
          "values": {
            "claw-avg": 38.1,
            "claw-pass": 24.3,
            "claw-completion": 33.6,
            "claw-robustness": 80.7,
            "claw-safety": 96.3
          }
        },
        {
          "model": "Qwen3.6-35B-A3B (medium)",
          "api_id": "Qwen/Qwen3.6-35B-A3B",
          "developer": "alibaba",
          "active": true,
          "values": {
            "claw-avg": 35.8,
            "claw-pass": 20.3,
            "claw-completion": 29.3,
            "claw-robustness": 89,
            "claw-safety": 97
          }
        },
        {
          "model": "GLM-4.7",
          "api_id": "zai-org/GLM-4.7",
          "developer": "zhipu",
          "active": true,
          "values": {
            "claw-avg": 35.6,
            "claw-pass": 18.8,
            "claw-completion": 29.1,
            "claw-robustness": 97.1,
            "claw-safety": 97.7
          }
        },
        {
          "model": "Qwen3.5-35B-A3B",
          "api_id": "Qwen/Qwen3.5-35B-A3B",
          "developer": "alibaba",
          "active": false,
          "values": {
            "claw-avg": 34.6,
            "claw-pass": 17.7,
            "claw-completion": 31.7,
            "claw-robustness": 93.3,
            "claw-safety": 96.8
          }
        },
        {
          "model": "DeepSeek V32 (medium)",
          "api_id": "deepseek/deepseek-v32",
          "developer": "deepseek",
          "active": false,
          "values": {
            "claw-avg": 32.1,
            "claw-pass": 15,
            "claw-completion": 25.8,
            "claw-robustness": 93.7,
            "claw-safety": 96.7
          }
        },
        {
          "model": "gpt-oss-120b (medium)",
          "api_id": "openai/gpt-oss-120b",
          "developer": "openai",
          "active": true,
          "values": {
            "claw-avg": 30.5,
            "claw-pass": 12.1,
            "claw-completion": 24.3,
            "claw-robustness": 97.3,
            "claw-safety": 98.3
          }
        },
        {
          "model": "MiniMax-M2",
          "api_id": "MiniMaxAI/MiniMax-M2",
          "developer": "minimax",
          "active": false,
          "values": {
            "claw-avg": 30,
            "claw-pass": 11.8,
            "claw-completion": 25,
            "claw-robustness": 95.7,
            "claw-safety": 97
          }
        },
        {
          "model": "Qwen3-Coder-Next-32B",
          "api_id": "Qwen/Qwen3-Coder-Next-32B-A3.2B-Instruct",
          "developer": "alibaba",
          "active": true,
          "values": {
            "claw-avg": 27.9,
            "claw-pass": 10.4,
            "claw-completion": 20.5,
            "claw-robustness": 90.2,
            "claw-safety": 95.6
          }
        },
        {
          "model": "AliceAI-LLM Flash",
          "api_id": "yandex/aliceai-llm-flash",
          "developer": "yandex",
          "active": true,
          "values": {
            "claw-avg": 26.5,
            "claw-pass": 7.3,
            "claw-completion": 20,
            "claw-robustness": 95.7,
            "claw-safety": 97.7
          }
        },
        {
          "model": "Qwen3-Coder-480B",
          "api_id": "Qwen/Qwen3-Coder-480B-A35B-Instruct",
          "developer": "alibaba",
          "active": false,
          "values": {
            "claw-avg": 25.9,
            "claw-pass": 6.8,
            "claw-completion": 20,
            "claw-robustness": 94.2,
            "claw-safety": 97.6
          }
        },
        {
          "model": "Qwen3-235B",
          "api_id": "Qwen/Qwen3-235B-A22B-Instruct-2507",
          "developer": "alibaba",
          "active": true,
          "values": {
            "claw-avg": 25.9,
            "claw-pass": 7.2,
            "claw-completion": 18.5,
            "claw-robustness": 93.2,
            "claw-safety": 96.9
          }
        },
        {
          "model": "AliceAI-LLM (32k)",
          "api_id": "yandex/aliceai-llm-32k",
          "developer": "yandex",
          "active": false,
          "values": {
            "claw-avg": 24.3,
            "claw-pass": 4.8,
            "claw-completion": 16,
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