Data Normalization

Data processing and normalization tasks evaluate structured output from messy prose and different structures. This capability is essential for catalogue and product pipelines where data needs to be extracted from unstructured text and formatted consistently. Models must understand the desired output format and extract relevant information accurately.

80
openai/gpt-5
Average duration
25s
Average tokens
2034
Average cost
$0.00
50
47s
2703
opper_normalization_sample_01
50
36s
2808
opper_normalization_sample_02
100
21s
1564
opper_normalization_sample_03
0
21s
2102
opper_normalization_sample_04
50
37s
3482
opper_normalization_sample_05
50
37s
3749
opper_normalization_sample_06
100
32s
2876
opper_normalization_sample_07
50
1m 1s
4394
opper_normalization_sample_08
50
36s
3417
opper_normalization_sample_09
100
30s
2332
opper_normalization_sample_10
100
21s
876
opper_normalization_sample_11
100
22s
1321
opper_normalization_sample_12
100
13s
1286
opper_normalization_sample_13
100
22s
1380
opper_normalization_sample_14
100
22s
1487
opper_normalization_sample_15
100
21s
1186
opper_normalization_sample_16
100
21s
1227
opper_normalization_sample_17
100
11s
1043
opper_normalization_sample_18
100
15s
1163
opper_normalization_sample_19
50
21s
2622
opper_normalization_sample_20
0
21s
1584
opper_normalization_sample_21
100
21s
1381
opper_normalization_sample_22
100
21s
1775
opper_normalization_sample_23
100
13s
1507
opper_normalization_sample_24
100
16s
1872
opper_normalization_sample_25
100
16s
2098
opper_normalization_sample_26
100
21s
1671
opper_normalization_sample_27