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.

87
xai/grok-3
Average duration
19s
Average tokens
1022
Average cost
$0.00
100
28s
1046
opper_normalization_sample_01
50
18s
1187
opper_normalization_sample_02
100
13s
1265
opper_normalization_sample_03
100
19s
949
opper_normalization_sample_04
50
18s
1244
opper_normalization_sample_05
50
17s
1185
opper_normalization_sample_06
100
23s
1612
opper_normalization_sample_07
50
25s
1471
opper_normalization_sample_08
50
28s
1671
opper_normalization_sample_09
100
28s
599
opper_normalization_sample_10
100
23s
498
opper_normalization_sample_11
100
19s
644
opper_normalization_sample_12
100
19s
759
opper_normalization_sample_13
100
19s
787
opper_normalization_sample_14
100
18s
927
opper_normalization_sample_15
100
11s
698
opper_normalization_sample_16
100
11s
706
opper_normalization_sample_17
100
10s
699
opper_normalization_sample_18
100
10s
678
opper_normalization_sample_19
100
22s
1602
opper_normalization_sample_20
0
13s
789
opper_normalization_sample_21
100
22s
845
opper_normalization_sample_22
100
22s
1279
opper_normalization_sample_23
100
22s
1109
opper_normalization_sample_24
100
17s
1180
opper_normalization_sample_25
100
13s
1095
opper_normalization_sample_26
100
18s
1074
opper_normalization_sample_27