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.

76
mistral/mistral-medium-2508-eu
Average duration
11s
Average tokens
1350
Average cost
$0.00
100
21s
2559
opper_normalization_sample_01
0
18s
1656
opper_normalization_sample_02
100
10s
1590
opper_normalization_sample_03
100
15s
1264
opper_normalization_sample_04
0
15s
2510
opper_normalization_sample_05
50
8s
1437
opper_normalization_sample_06
50
13s
1852
opper_normalization_sample_07
0
15s
1794
opper_normalization_sample_08
50
24s
2160
opper_normalization_sample_09
50
8s
1256
opper_normalization_sample_10
100
7s
570
opper_normalization_sample_11
100
9s
1431
opper_normalization_sample_12
50
9s
933
opper_normalization_sample_13
100
6s
898
opper_normalization_sample_14
50
9s
1197
opper_normalization_sample_15
100
5s
864
opper_normalization_sample_16
100
6s
767
opper_normalization_sample_17
100
6s
758
opper_normalization_sample_18
100
7s
707
opper_normalization_sample_19
100
12s
1911
opper_normalization_sample_20
50
7s
824
opper_normalization_sample_21
100
16s
1445
opper_normalization_sample_22
100
8s
1270
opper_normalization_sample_23
100
7s
1185
opper_normalization_sample_24
100
7s
1137
opper_normalization_sample_25
100
10s
1292
opper_normalization_sample_26
100
7s
1175
opper_normalization_sample_27