DDR_Bench / data.js
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// 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"
},
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,
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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,
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18410,
19112,
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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,
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10978,
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17080,
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22501,
25124,
27696,
30109,
32363,
34247,
35154,
35907,
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],
"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,
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],
"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,
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16757,
18614,
20290,
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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,
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],
"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,
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18404,
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20729,
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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,
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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",
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"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",
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