// DDR-Bench Visualization Data
// Auto-generated by export_web_data.py - matches Python plotting scripts exactly

const DDR_DATA = {
        modelColors: {
                "GPT-5.2": "#00C853",
                "Claude-4.5-Sonnet": "#FF6D00",
                "Gemini-3-Flash": "#2196F3",
                "GLM-4.6": "#9C27B0",
                "DeepSeek-V3": "#E91E63",
                "deepseek-v3.2": "#E91E63",
                "Qwen2.5-32B": "#4A90D9",
                "Qwen2.5-72B": "#1A5FB4",
                "Qwen3-4B": "#57E389",
                "Qwen3-30B-A3B": "#26A269",
                "Qwen3-Next-80B-A3B": "#9141AC",
                "Qwen2.5-14B": "#64B5F6",
                "Qwen2.5-7B": "#90CAF9",
                "Gemini2.5-Flash": "#2196F3",
                "Gemini2.5-Pro": "#1976D2"
        },
        scaling: {
                "mimic": {
                        "GPT-5.2": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45,
                                        50,
                                        55
                                ],
                                "tokens": [
                                        3737,
                                        8577,
                                        15459,
                                        20193,
                                        24028,
                                        26951,
                                        28820,
                                        29751,
                                        30405,
                                        30968,
                                        31260
                                ],
                                "costs": [
                                        0.005,
                                        0.0207,
                                        0.0516,
                                        0.0947,
                                        0.1522,
                                        0.2153,
                                        0.2799,
                                        0.3597,
                                        0.4373,
                                        0.4906,
                                        0.635
                                ],
                                "accuracy": [
                                        10.85,
                                        15.25,
                                        18.35,
                                        20.41,
                                        23.26,
                                        24.42,
                                        25.32,
                                        25.97,
                                        26.36,
                                        26.87,
                                        27.26
                                ]
                        },
                        "Gemini-3-Flash": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25
                                ],
                                "tokens": [
                                        5580,
                                        14305,
                                        23357,
                                        26964,
                                        27542
                                ],
                                "costs": [
                                        0.002,
                                        0.008,
                                        0.0173,
                                        0.0284,
                                        0.045
                                ],
                                "accuracy": [
                                        7.62,
                                        13.44,
                                        19.77,
                                        24.03,
                                        24.94
                                ]
                        },
                        "Claude-4.5-Sonnet": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45,
                                        50,
                                        55,
                                        60,
                                        65,
                                        70,
                                        75
                                ],
                                "tokens": [
                                        4513,
                                        9214,
                                        13378,
                                        17217,
                                        20275,
                                        22878,
                                        25379,
                                        27559,
                                        29532,
                                        31239,
                                        32395,
                                        33382,
                                        33796,
                                        33968,
                                        34140
                                ],
                                "costs": [
                                        0.0152,
                                        0.059,
                                        0.1249,
                                        0.2138,
                                        0.3214,
                                        0.4458,
                                        0.5823,
                                        0.7212,
                                        0.842,
                                        0.9656,
                                        1.0851,
                                        1.1605,
                                        1.3008,
                                        1.4081,
                                        1.3369
                                ],
                                "accuracy": [
                                        8.14,
                                        9.17,
                                        11.89,
                                        14.73,
                                        16.67,
                                        18.22,
                                        19.77,
                                        22.87,
                                        26.61,
                                        29.46,
                                        31.78,
                                        33.59,
                                        33.98,
                                        34.24,
                                        34.37
                                ]
                        },
                        "GLM-4.6": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45,
                                        50,
                                        55,
                                        60,
                                        65,
                                        70,
                                        75,
                                        80,
                                        85,
                                        90,
                                        95
                                ],
                                "tokens": [
                                        3488,
                                        7059,
                                        10542,
                                        13099,
                                        14972,
                                        16484,
                                        17524,
                                        18410,
                                        19112,
                                        19728,
                                        20259,
                                        20715,
                                        21135,
                                        21489,
                                        21858,
                                        22169,
                                        22422,
                                        22613,
                                        22802
                                ],
                                "costs": [
                                        0.0026,
                                        0.0097,
                                        0.0217,
                                        0.0369,
                                        0.0552,
                                        0.0743,
                                        0.0969,
                                        0.1204,
                                        0.1489,
                                        0.1769,
                                        0.2074,
                                        0.24,
                                        0.2763,
                                        0.3114,
                                        0.3522,
                                        0.3935,
                                        0.4408,
                                        0.4741,
                                        0.5461
                                ],
                                "accuracy": [
                                        9.43,
                                        11.11,
                                        13.57,
                                        16.02,
                                        17.57,
                                        18.86,
                                        19.77,
                                        20.16,
                                        20.8,
                                        21.19,
                                        21.45,
                                        22.09,
                                        22.48,
                                        22.61,
                                        22.87,
                                        23.13,
                                        23.13,
                                        23.13,
                                        23.26
                                ]
                        },
                        "deepseek-v3.2": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45
                                ],
                                "tokens": [
                                        3447,
                                        9155,
                                        13730,
                                        17912,
                                        21270,
                                        23962,
                                        26205,
                                        27253,
                                        27411
                                ],
                                "costs": [
                                        0.001,
                                        0.0048,
                                        0.011,
                                        0.0192,
                                        0.0282,
                                        0.0385,
                                        0.0499,
                                        0.0642,
                                        0.0694
                                ],
                                "accuracy": [
                                        9.3,
                                        12.53,
                                        14.73,
                                        17.05,
                                        20.16,
                                        23.9,
                                        25.97,
                                        26.87,
                                        27.0
                                ]
                        }
                },
                "10k": {
                        "Claude-4.5-Sonnet": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45,
                                        50,
                                        55,
                                        60,
                                        65,
                                        70,
                                        75,
                                        80
                                ],
                                "tokens": [
                                        2561,
                                        7208,
                                        10978,
                                        14050,
                                        17080,
                                        19955,
                                        22501,
                                        25124,
                                        27696,
                                        30109,
                                        32363,
                                        34247,
                                        35154,
                                        35907,
                                        36148,
                                        36277
                                ],
                                "costs": [
                                        0.0094,
                                        0.0414,
                                        0.0955,
                                        0.1682,
                                        0.2576,
                                        0.3598,
                                        0.4751,
                                        0.5932,
                                        0.7209,
                                        0.8684,
                                        1.0029,
                                        1.0913,
                                        1.2015,
                                        1.3713,
                                        1.4854,
                                        1.5611
                                ],
                                "accuracy": [
                                        0.82,
                                        1.06,
                                        1.41,
                                        3.18,
                                        5.65,
                                        9.78,
                                        15.19,
                                        22.85,
                                        31.8,
                                        46.64,
                                        60.42,
                                        69.02,
                                        73.26,
                                        75.62,
                                        76.68,
                                        77.27
                                ]
                        },
                        "GPT-5.2": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45,
                                        50,
                                        55,
                                        60
                                ],
                                "tokens": [
                                        2823,
                                        7902,
                                        11581,
                                        14651,
                                        16306,
                                        17356,
                                        17871,
                                        18251,
                                        18345,
                                        18398,
                                        18441,
                                        18468
                                ],
                                "costs": [
                                        0.0037,
                                        0.0199,
                                        0.0454,
                                        0.0774,
                                        0.1125,
                                        0.1524,
                                        0.1983,
                                        0.2657,
                                        0.3601,
                                        0.4706,
                                        0.5641,
                                        0.6699
                                ],
                                "accuracy": [
                                        0.82,
                                        8.36,
                                        22.85,
                                        32.98,
                                        37.57,
                                        40.52,
                                        43.23,
                                        44.29,
                                        44.41,
                                        44.52,
                                        44.76,
                                        44.99
                                ]
                        },
                        "GLM-4.6": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45,
                                        50,
                                        55,
                                        60,
                                        65,
                                        70,
                                        75,
                                        80,
                                        85,
                                        90
                                ],
                                "tokens": [
                                        1838,
                                        3927,
                                        6056,
                                        8124,
                                        10227,
                                        12399,
                                        14608,
                                        16757,
                                        18614,
                                        20290,
                                        21537,
                                        22418,
                                        23164,
                                        23553,
                                        23781,
                                        23950,
                                        24062,
                                        24102
                                ],
                                "costs": [
                                        0.0013,
                                        0.0053,
                                        0.012,
                                        0.0214,
                                        0.0334,
                                        0.0481,
                                        0.0654,
                                        0.0855,
                                        0.1047,
                                        0.1277,
                                        0.1498,
                                        0.1724,
                                        0.2004,
                                        0.223,
                                        0.2716,
                                        0.3281,
                                        0.3281,
                                        0.4018
                                ],
                                "accuracy": [
                                        0.24,
                                        0.59,
                                        2.0,
                                        4.48,
                                        8.72,
                                        13.19,
                                        19.08,
                                        26.27,
                                        35.34,
                                        41.22,
                                        47.7,
                                        52.3,
                                        54.77,
                                        56.54,
                                        57.83,
                                        59.25,
                                        60.19,
                                        60.42
                                ]
                        },
                        "deepseek-v3.2": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40,
                                        45,
                                        50,
                                        55,
                                        60
                                ],
                                "tokens": [
                                        1997,
                                        4260,
                                        6707,
                                        9238,
                                        11703,
                                        14313,
                                        16306,
                                        18027,
                                        19074,
                                        19698,
                                        19875,
                                        19988
                                ],
                                "costs": [
                                        0.0006,
                                        0.0024,
                                        0.0054,
                                        0.0097,
                                        0.0153,
                                        0.0214,
                                        0.028,
                                        0.0355,
                                        0.0437,
                                        0.0505,
                                        0.06,
                                        0.0694
                                ],
                                "accuracy": [
                                        1.18,
                                        1.88,
                                        2.83,
                                        6.12,
                                        14.13,
                                        27.09,
                                        37.34,
                                        48.53,
                                        55.48,
                                        58.54,
                                        59.72,
                                        60.42
                                ]
                        },
                        "Gemini-3-Flash": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40
                                ],
                                "tokens": [
                                        4473,
                                        12616,
                                        18404,
                                        20077,
                                        20729,
                                        20883,
                                        20935,
                                        21004
                                ],
                                "costs": [
                                        0.002,
                                        0.008,
                                        0.0171,
                                        0.0275,
                                        0.0385,
                                        0.0405,
                                        0.0538,
                                        0.0688
                                ],
                                "accuracy": [
                                        1.88,
                                        18.61,
                                        38.4,
                                        42.17,
                                        43.7,
                                        44.05,
                                        44.05,
                                        44.41
                                ]
                        }
                },
                "globem": {
                        "deepseek-v3.2": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25
                                ],
                                "tokens": [
                                        3972,
                                        10497,
                                        20470,
                                        32293,
                                        36396
                                ],
                                "costs": [
                                        0.001,
                                        0.005,
                                        0.0135,
                                        0.0262,
                                        0.0382
                                ],
                                "accuracy": [
                                        0.92,
                                        0.92,
                                        4.6,
                                        27.59,
                                        36.78
                                ]
                        },
                        "GLM-4.6": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35
                                ],
                                "tokens": [
                                        3851,
                                        8817,
                                        16221,
                                        26186,
                                        32076,
                                        34058,
                                        34425
                                ],
                                "costs": [
                                        0.0027,
                                        0.0115,
                                        0.028,
                                        0.0544,
                                        0.0891,
                                        0.1409,
                                        0.1581
                                ],
                                "accuracy": [
                                        2.3,
                                        2.3,
                                        5.52,
                                        22.99,
                                        36.32,
                                        40.0,
                                        41.61
                                ]
                        },
                        "Gemini-3-Flash": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30,
                                        35,
                                        40
                                ],
                                "tokens": [
                                        6260,
                                        14825,
                                        25972,
                                        35526,
                                        40312,
                                        41787,
                                        42167,
                                        42236
                                ],
                                "costs": [
                                        0.0021,
                                        0.0074,
                                        0.0166,
                                        0.0292,
                                        0.047,
                                        0.0828,
                                        0.1479,
                                        0.2258
                                ],
                                "accuracy": [
                                        1.88,
                                        2.12,
                                        5.88,
                                        21.41,
                                        30.35,
                                        34.35,
                                        35.06,
                                        35.29
                                ]
                        },
                        "Claude-4.5-Sonnet": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20,
                                        25,
                                        30
                                ],
                                "tokens": [
                                        4579,
                                        11405,
                                        21188,
                                        32526,
                                        44888,
                                        49137
                                ],
                                "costs": [
                                        0.0152,
                                        0.0638,
                                        0.1611,
                                        0.3124,
                                        0.4877,
                                        0.6335
                                ],
                                "accuracy": [
                                        2.53,
                                        2.53,
                                        3.45,
                                        12.64,
                                        30.57,
                                        40.23
                                ]
                        },
                        "GPT-5.2": {
                                "turns": [
                                        5,
                                        10,
                                        15,
                                        20
                                ],
                                "tokens": [
                                        3477,
                                        10218,
                                        17672,
                                        19878
                                ],
                                "costs": [
                                        0.0048,
                                        0.0236,
                                        0.0652,
                                        0.1238
                                ],
                                "accuracy": [
                                        0.92,
                                        5.98,
                                        34.02,
                                        38.39
                                ]
                        }
                }
        },
        ranking: {
                "MIMIC": [
                        {
                                "model": "gpt5-mini",
                                "bt_rank": 1,
                                "win_rate": 100.0,
                                "accuracy": 27.59,
                                "acc_rank": 7,
                                "is_proprietary": true
                        },
                        {
                                "model": "claude4.5-sonnet",
                                "bt_rank": 2,
                                "win_rate": 94.6,
                                "accuracy": 33.66,
                                "acc_rank": 1,
                                "is_proprietary": true
                        },
                        {
                                "model": "gpt5mini",
                                "bt_rank": 3,
                                "win_rate": 87.8,
                                "accuracy": 27.59,
                                "acc_rank": 8,
                                "is_proprietary": true
                        },
                        {
                                "model": "gpt5.2",
                                "bt_rank": 4,
                                "win_rate": 83.6,
                                "accuracy": 28.88,
                                "acc_rank": 5,
                                "is_proprietary": true
                        },
                        {
                                "model": "gpt5.1",
                                "bt_rank": 5,
                                "win_rate": 80.6,
                                "accuracy": 30.1,
                                "acc_rank": 3,
                                "is_proprietary": true
                        },
                        {
                                "model": "gemini3-flash",
                                "bt_rank": 6,
                                "win_rate": 76.5,
                                "accuracy": 29.28,
                                "acc_rank": 4,
                                "is_proprietary": true
                        },
                        {
                                "model": "kimi-k2",
                                "bt_rank": 7,
                                "win_rate": 73.1,
                                "accuracy": 30.17,
                                "acc_rank": 2,
                                "is_proprietary": false
                        },
                        {
                                "model": "run_api_deepseek_deepseek-chat",
                                "bt_rank": 8,
                                "win_rate": 70.5,
                                "accuracy": 27.65,
                                "acc_rank": 6,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-pro",
                                "bt_rank": 9,
                                "win_rate": 63.9,
                                "accuracy": 19.0,
                                "acc_rank": 14,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen3-next-80b-a3b-instruct",
                                "bt_rank": 10,
                                "win_rate": 59.5,
                                "accuracy": 18.8,
                                "acc_rank": 15,
                                "is_proprietary": false
                        },
                        {
                                "model": "minimax-m2",
                                "bt_rank": 11,
                                "win_rate": 59.7,
                                "accuracy": 23.52,
                                "acc_rank": 10,
                                "is_proprietary": false
                        },
                        {
                                "model": "glm4.6",
                                "bt_rank": 12,
                                "win_rate": 52.1,
                                "accuracy": 23.84,
                                "acc_rank": 9,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen3",
                                "bt_rank": 13,
                                "win_rate": 51.7,
                                "accuracy": 19.13,
                                "acc_rank": 13,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-14B-Instruct-1M",
                                "bt_rank": 14,
                                "win_rate": 40.3,
                                "accuracy": 20,
                                "acc_rank": 11,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-flash-lite",
                                "bt_rank": 15,
                                "win_rate": 35.4,
                                "accuracy": 16.64,
                                "acc_rank": 18,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen2.5-14B-Instruct",
                                "bt_rank": 16,
                                "win_rate": 32.4,
                                "accuracy": 14.15,
                                "acc_rank": 20,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-32b-instruct",
                                "bt_rank": 17,
                                "win_rate": 32.3,
                                "accuracy": 13.12,
                                "acc_rank": 21,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-flash",
                                "bt_rank": 18,
                                "win_rate": 31.2,
                                "accuracy": 18.61,
                                "acc_rank": 16,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen2.5-72B-Instruct",
                                "bt_rank": 19,
                                "win_rate": 29.5,
                                "accuracy": 14.92,
                                "acc_rank": 19,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen3-4B-Instruct-2507",
                                "bt_rank": 20,
                                "win_rate": 27.3,
                                "accuracy": 16.93,
                                "acc_rank": 17,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-7B-Instruct-1M",
                                "bt_rank": 21,
                                "win_rate": 17.3,
                                "accuracy": 20,
                                "acc_rank": 12,
                                "is_proprietary": false
                        },
                        {
                                "model": "llama3.3-70B",
                                "bt_rank": 22,
                                "win_rate": 14.2,
                                "accuracy": 7.3,
                                "acc_rank": 22,
                                "is_proprietary": false
                        }
                ],
                "10K": [
                        {
                                "model": "claude4.5-sonnet",
                                "bt_rank": 1,
                                "win_rate": 92.8,
                                "accuracy": 69.26,
                                "acc_rank": 1,
                                "is_proprietary": true
                        },
                        {
                                "model": "run_api_deepseek_deepseek-chat",
                                "bt_rank": 2,
                                "win_rate": 80.6,
                                "accuracy": 49.41,
                                "acc_rank": 2,
                                "is_proprietary": false
                        },
                        {
                                "model": "gpt5mini",
                                "bt_rank": 3,
                                "win_rate": 80.4,
                                "accuracy": 41.56,
                                "acc_rank": 5,
                                "is_proprietary": true
                        },
                        {
                                "model": "gpt5.2",
                                "bt_rank": 4,
                                "win_rate": 78.0,
                                "accuracy": 43.11,
                                "acc_rank": 4,
                                "is_proprietary": true
                        },
                        {
                                "model": "kimi-k2",
                                "bt_rank": 5,
                                "win_rate": 77.0,
                                "accuracy": 41.17,
                                "acc_rank": 7,
                                "is_proprietary": false
                        },
                        {
                                "model": "glm4.6",
                                "bt_rank": 6,
                                "win_rate": 71.4,
                                "accuracy": 48.29,
                                "acc_rank": 3,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini3-flash",
                                "bt_rank": 7,
                                "win_rate": 63.6,
                                "accuracy": 39.5,
                                "acc_rank": 8,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen3-next-80b-a3b-instruct",
                                "bt_rank": 8,
                                "win_rate": 59.2,
                                "accuracy": 38.34,
                                "acc_rank": 9,
                                "is_proprietary": false
                        },
                        {
                                "model": "minimax-m2",
                                "bt_rank": 9,
                                "win_rate": 54.4,
                                "accuracy": 35.74,
                                "acc_rank": 10,
                                "is_proprietary": false
                        },
                        {
                                "model": "gpt5.1",
                                "bt_rank": 10,
                                "win_rate": 54.0,
                                "accuracy": 41.23,
                                "acc_rank": 6,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen3",
                                "bt_rank": 11,
                                "win_rate": 51.0,
                                "accuracy": 28.23,
                                "acc_rank": 12,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-14B-Instruct-1M",
                                "bt_rank": 12,
                                "win_rate": 45.6,
                                "accuracy": 20,
                                "acc_rank": 15,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-pro",
                                "bt_rank": 13,
                                "win_rate": 44.8,
                                "accuracy": 20.91,
                                "acc_rank": 13,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen2.5-32b-instruct",
                                "bt_rank": 14,
                                "win_rate": 41.2,
                                "accuracy": 17.83,
                                "acc_rank": 17,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-72B-Instruct",
                                "bt_rank": 15,
                                "win_rate": 34.6,
                                "accuracy": 20.79,
                                "acc_rank": 14,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-14B-Instruct",
                                "bt_rank": 16,
                                "win_rate": 31.6,
                                "accuracy": 14.65,
                                "acc_rank": 18,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen3-4B-Instruct-2507",
                                "bt_rank": 17,
                                "win_rate": 30.0,
                                "accuracy": 30.43,
                                "acc_rank": 11,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-flash-lite",
                                "bt_rank": 18,
                                "win_rate": 29.6,
                                "accuracy": 14.37,
                                "acc_rank": 19,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen2.5-7B-Instruct-1M",
                                "bt_rank": 19,
                                "win_rate": 27.4,
                                "accuracy": 20,
                                "acc_rank": 16,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-flash",
                                "bt_rank": 20,
                                "win_rate": 25.2,
                                "accuracy": 12.61,
                                "acc_rank": 20,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen2.5-7B-Instruct",
                                "bt_rank": 21,
                                "win_rate": 22.0,
                                "accuracy": 7.53,
                                "acc_rank": 21,
                                "is_proprietary": false
                        },
                        {
                                "model": "llama3.3-70B",
                                "bt_rank": 22,
                                "win_rate": 18.6,
                                "accuracy": 6.51,
                                "acc_rank": 22,
                                "is_proprietary": false
                        }
                ],
                "GLOBEM": [
                        {
                                "model": "claude4.5-sonnet",
                                "bt_rank": 1,
                                "win_rate": 93.0,
                                "accuracy": 39.54,
                                "acc_rank": 2,
                                "is_proprietary": true
                        },
                        {
                                "model": "gpt5-mini",
                                "bt_rank": 2,
                                "win_rate": 60.0,
                                "accuracy": 33.91,
                                "acc_rank": 12,
                                "is_proprietary": true
                        },
                        {
                                "model": "gemini3-flash",
                                "bt_rank": 3,
                                "win_rate": 81.2,
                                "accuracy": 35.46,
                                "acc_rank": 9,
                                "is_proprietary": true
                        },
                        {
                                "model": "minimax-m2",
                                "bt_rank": 4,
                                "win_rate": 77.8,
                                "accuracy": 36.9,
                                "acc_rank": 6,
                                "is_proprietary": false
                        },
                        {
                                "model": "gpt5mini",
                                "bt_rank": 5,
                                "win_rate": 73.8,
                                "accuracy": 33.91,
                                "acc_rank": 13,
                                "is_proprietary": true
                        },
                        {
                                "model": "gpt5.1",
                                "bt_rank": 6,
                                "win_rate": 67.5,
                                "accuracy": 36.76,
                                "acc_rank": 7,
                                "is_proprietary": true
                        },
                        {
                                "model": "gpt5.2",
                                "bt_rank": 7,
                                "win_rate": 64.4,
                                "accuracy": 38.39,
                                "acc_rank": 3,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen3",
                                "bt_rank": 8,
                                "win_rate": 64.7,
                                "accuracy": 36.32,
                                "acc_rank": 8,
                                "is_proprietary": false
                        },
                        {
                                "model": "run_api_deepseek_deepseek-chat",
                                "bt_rank": 9,
                                "win_rate": 64.5,
                                "accuracy": 38.39,
                                "acc_rank": 4,
                                "is_proprietary": false
                        },
                        {
                                "model": "glm4.6",
                                "bt_rank": 10,
                                "win_rate": 53.6,
                                "accuracy": 39.77,
                                "acc_rank": 1,
                                "is_proprietary": false
                        },
                        {
                                "model": "kimi-k2",
                                "bt_rank": 11,
                                "win_rate": 52.2,
                                "accuracy": 37.01,
                                "acc_rank": 5,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-pro",
                                "bt_rank": 12,
                                "win_rate": 45.6,
                                "accuracy": 34.6,
                                "acc_rank": 10,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen2.5-72B-Instruct",
                                "bt_rank": 13,
                                "win_rate": 43.3,
                                "accuracy": 27.13,
                                "acc_rank": 14,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-32B-Instruct",
                                "bt_rank": 14,
                                "win_rate": 42.1,
                                "accuracy": 20,
                                "acc_rank": 20,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen3-next-80b-a3b-instruct",
                                "bt_rank": 15,
                                "win_rate": 41.5,
                                "accuracy": 34.14,
                                "acc_rank": 11,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-14B-Instruct",
                                "bt_rank": 16,
                                "win_rate": 40.8,
                                "accuracy": 26.13,
                                "acc_rank": 16,
                                "is_proprietary": false
                        },
                        {
                                "model": "gemini2.5-flash-lite",
                                "bt_rank": 17,
                                "win_rate": 37.4,
                                "accuracy": 25.52,
                                "acc_rank": 18,
                                "is_proprietary": true
                        },
                        {
                                "model": "qwen3-4B-Instruct-2507",
                                "bt_rank": 18,
                                "win_rate": 36.6,
                                "accuracy": 26.9,
                                "acc_rank": 15,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-14B-Instruct-1M",
                                "bt_rank": 19,
                                "win_rate": 32.0,
                                "accuracy": 20,
                                "acc_rank": 21,
                                "is_proprietary": false
                        },
                        {
                                "model": "llama3.3-70B",
                                "bt_rank": 20,
                                "win_rate": 28.1,
                                "accuracy": 22.65,
                                "acc_rank": 19,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-7B-Instruct",
                                "bt_rank": 21,
                                "win_rate": 22.2,
                                "accuracy": 25.64,
                                "acc_rank": 17,
                                "is_proprietary": false
                        },
                        {
                                "model": "qwen2.5-7B-Instruct-1M",
                                "bt_rank": 22,
                                "win_rate": 19.7,
                                "accuracy": 20,
                                "acc_rank": 22,
                                "is_proprietary": false
                        }
                ]
        },
        // Generated turn distribution data
        turn: {
                "mimic": [
                        {
                                "model": "Claude4.5-Sonnet",
                                "median": 52,
                                "distribution": [
                                        0.0,
                                        0.0,
                                        1.0,
                                        5.0,
                                        31.0,
                                        43.0,
                                        13.0,
                                        7.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen3-30B-A3B",
                                "median": 43,
                                "distribution": [
                                        0.0,
                                        1.0,
                                        12.0,
                                        29.0,
                                        13.0,
                                        9.0,
                                        3.0,
                                        2.0,
                                        0.0,
                                        31.0
                                ]
                        },
                        {
                                "model": "GPT5-mini",
                                "median": 39,
                                "distribution": [
                                        0.0,
                                        0.0,
                                        9.0,
                                        42.0,
                                        36.0,
                                        12.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "GLM4.6",
                                "median": 39,
                                "distribution": [
                                        0.0,
                                        6.3,
                                        23.4,
                                        20.7,
                                        7.2,
                                        13.5,
                                        3.6,
                                        6.3,
                                        4.5,
                                        14.4
                                ]
                        },
                        {
                                "model": "DeepSeekV3.2",
                                "median": 33,
                                "distribution": [
                                        0.0,
                                        2.0,
                                        22.0,
                                        60.0,
                                        16.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "GPT5.2",
                                "median": 30,
                                "distribution": [
                                        0.0,
                                        10.0,
                                        36.0,
                                        32.0,
                                        12.0,
                                        10.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "GPT5.1",
                                "median": 23,
                                "distribution": [
                                        1.5,
                                        39.7,
                                        29.4,
                                        19.9,
                                        9.6,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Kimi-K2",
                                "median": 19,
                                "distribution": [
                                        0.0,
                                        55.0,
                                        44.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "MiniMax-M2",
                                "median": 18,
                                "distribution": [
                                        0.0,
                                        70.0,
                                        30.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini3-Flash",
                                "median": 15,
                                "distribution": [
                                        7.0,
                                        71.0,
                                        22.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini2.5-Pro",
                                "median": 15,
                                "distribution": [
                                        10.6,
                                        70.2,
                                        19.2,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen3-4B",
                                "median": 14,
                                "distribution": [
                                        0.0,
                                        98.0,
                                        1.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen3-Next-80B-A3B",
                                "median": 12,
                                "distribution": [
                                        23.0,
                                        62.0,
                                        12.0,
                                        0.0,
                                        1.0,
                                        0.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        1.0
                                ]
                        },
                        {
                                "model": "Gemini2.5-flash-lite",
                                "median": 11,
                                "distribution": [
                                        29.0,
                                        71.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen2.5-72B",
                                "median": 11,
                                "distribution": [
                                        15.0,
                                        85.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini2.5-flash",
                                "median": 10,
                                "distribution": [
                                        34.0,
                                        65.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Llama3.3-70B",
                                "median": 6,
                                "distribution": [
                                        99.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                ],
                "10k": [
                        {
                                "model": "Claude4.5-Sonnet",
                                "median": 56,
                                "distribution": [
                                        0.0,
                                        0.0,
                                        1.0,
                                        6.0,
                                        13.0,
                                        44.0,
                                        27.0,
                                        6.0,
                                        3.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "GLM4.6",
                                "median": 52,
                                "distribution": [
                                        0.0,
                                        0.0,
                                        3.8,
                                        10.4,
                                        27.4,
                                        27.4,
                                        18.9,
                                        5.7,
                                        4.7,
                                        1.9
                                ]
                        },
                        {
                                "model": "DeepSeekV3.2",
                                "median": 39,
                                "distribution": [
                                        0.0,
                                        0.0,
                                        11.0,
                                        40.0,
                                        37.0,
                                        9.0,
                                        3.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "GPT5-mini",
                                "median": 35,
                                "distribution": [
                                        0.0,
                                        4.0,
                                        27.8,
                                        36.5,
                                        24.6,
                                        6.3,
                                        0.8,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen3-30B-A3B",
                                "median": 26,
                                "distribution": [
                                        0.8,
                                        25.4,
                                        30.2,
                                        7.9,
                                        2.4,
                                        0.0,
                                        0.0,
                                        0.8,
                                        0.0,
                                        32.5
                                ]
                        },
                        {
                                "model": "Kimi-K2",
                                "median": 24,
                                "distribution": [
                                        0.0,
                                        29.0,
                                        48.0,
                                        21.0,
                                        2.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "MiniMax-M2",
                                "median": 20,
                                "distribution": [
                                        0.0,
                                        43.0,
                                        48.0,
                                        9.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen3-Next-80B-A3B",
                                "median": 20,
                                "distribution": [
                                        0.0,
                                        46.0,
                                        27.0,
                                        11.0,
                                        2.0,
                                        6.0,
                                        3.0,
                                        1.0,
                                        1.0,
                                        3.0
                                ]
                        },
                        {
                                "model": "GPT5.2",
                                "median": 20,
                                "distribution": [
                                        0.0,
                                        43.0,
                                        41.0,
                                        12.0,
                                        3.0,
                                        0.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "GPT5.1",
                                "median": 17,
                                "distribution": [
                                        1.0,
                                        69.0,
                                        29.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini2.5-Pro",
                                "median": 15,
                                "distribution": [
                                        7.0,
                                        73.0,
                                        18.0,
                                        2.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini2.5-flash-lite",
                                "median": 14,
                                "distribution": [
                                        14.0,
                                        78.0,
                                        8.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini3-Flash",
                                "median": 13,
                                "distribution": [
                                        10.0,
                                        82.0,
                                        7.0,
                                        0.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini2.5-flash",
                                "median": 12,
                                "distribution": [
                                        21.0,
                                        69.0,
                                        8.0,
                                        2.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen3-4B",
                                "median": 12,
                                "distribution": [
                                        4.0,
                                        91.0,
                                        5.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Qwen2.5-72B",
                                "median": 7,
                                "distribution": [
                                        75.0,
                                        25.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Llama3.3-70B",
                                "median": 1,
                                "distribution": [
                                        92.0,
                                        7.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                ],
                "globem": [
                        {
                                "model": "Claude4.5-Sonnet",
                                "median": 25,
                                "distribution": [
                                        0.0,
                                        6.0,
                                        87.0,
                                        7.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "GLM4.6",
                                "median": 21,
                                "distribution": [
                                        0.0,
                                        23.0,
                                        66.0,
                                        11.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "Gemini3-Flash",
                                "median": 21,
                                "distribution": [
                                        2.0,
                                        36.0,
                                        58.0,
                                        3.0,
                                        1.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0,
                                        0.0
                                ]
                        },
                        {
                                "model": "DeepSeekV3.2",
                                "median": 20,
                                "distribution": [
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