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.

85
xai/grok-4
Average duration
27s
Average tokens
1022
Average cost
$0.00
50
29s
987
opper_normalization_sample_01
100
1m 11s
1300
opper_normalization_sample_02
100
23s
1270
opper_normalization_sample_03
100
56s
968
opper_normalization_sample_04
50
24s
1272
opper_normalization_sample_05
50
42s
1167
opper_normalization_sample_06
100
22s
1482
opper_normalization_sample_07
50
28s
1528
opper_normalization_sample_08
50
29s
1810
opper_normalization_sample_09
100
2m 5s
778
opper_normalization_sample_10
100
14s
545
opper_normalization_sample_11
100
22s
636
opper_normalization_sample_12
100
16s
862
opper_normalization_sample_13
100
13s
834
opper_normalization_sample_14
100
18s
919
opper_normalization_sample_15
100
16s
699
opper_normalization_sample_16
100
16s
634
opper_normalization_sample_17
100
14s
701
opper_normalization_sample_18
100
10s
664
opper_normalization_sample_19
50
24s
1631
opper_normalization_sample_20
0
20s
638
opper_normalization_sample_21
100
20s
898
opper_normalization_sample_22
100
13s
1079
opper_normalization_sample_23
100
15s
1003
opper_normalization_sample_24
100
15s
1006
opper_normalization_sample_25
100
17s
1148
opper_normalization_sample_26
100
17s
1141
opper_normalization_sample_27